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516<script type="application/ld+json">[{"@context":"https:\/\/schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.infoworld.com\/"},{"@type":"ListItem","position":2,"name":"Artificial Intelligence","item":"https:\/\/www.infoworld.com\/artificial-intelligence\/"}]},{"@context":"https:\/\/schema.org","@type":"Article","url":"https:\/\/www.infoworld.com\/article\/4227238\/why-faster-ai-coding-can-mean-harder-engineering.html","publisher":{"@type":"Organization","name":"InfoWorld","url":"https:\/\/www.infoworld.com","logo":{"@type":"ImageObject"}},"author":{"@type":"Person","name":"Matt Asay","jobTitle":"Contributing Writer","url":"https:\/\/www.infoworld.com\/profile\/matt-asay\/"},"name":"Why faster AI coding can mean harder engineering","headline":"Why faster AI coding can mean harder engineering","articleBody":"We keep asking whether AI can make developers more productive, but that\u2019s the wrong question. We should instead be asking what happens when it does. All those productivity gains can be for good, of course, but they could also be for ill.\n\nSimon Willison made this clear in a recent post. \u201cThe more time I spend working with coding agents, the more convinced I am that they make software engineering even harder.\u201d Wait, what? Why would he say that? Because getting the most from them requires \u201cextraordinary discipline and knowledge.\u201d\n\nThis wasn\u2019t a denunciation of AI coding. If you\u2019ve read Willison for more than a millisecond, you know he\u2019s a fan. Indeed, in his post, he explicitly celebrated
516what the tools make possible. One respondent apparently missed that, however, warning that without deep expertise, it\u2019s difficult to distinguish correct output from plausible nonsense. Willison\u2019s response? \u201cYou\u2019re making the exact same point as me.\u201d\n\nThis isn\u2019t just retreading familiar ground (that AI still needs experienced engineers to impose that discipline). It\u2019s something different. After all, faster implementation doesn\u2019t automatically create extra human capacity. Yes, it can change the work people attempt, the decisions they must make, and the expectations attached to their jobs. But a team can deliver more and still find the work more demanding. Both can be true.\n\nCompanies should be careful about budgeting as though AI has already given them both a larger road map and a smaller need for engineering expertise. It\u2019s by no means clear that faster coding is an unalloyed good.\n\nFaster isn\u2019t the same as easier\n\nIn the replies, one reader, Hillel, put it neatly: \u201cIt doesn\u2019t get easier, you just get faster.\u201d Geoffrey Huntley concurs, describing the work as \u201cincredibly taxing\u201d even for experienced operators. He reported roughly 16-hour days over the preceding 12 days, explicitly noting that this was his choice, not a requirement at work. That qualification matters because these comments aren\u2019t representative measurements of developer productivity, nor are they evidence that agents inevitably exhaust everyone. They\u2019re simply observations from people using the tools enthusiastically. The enthusiasm is part of the story. As more becomes possible, people attempt more.\n\nI\u2019ve argued before that AI coding agents need good software engineers. AI doesn\u2019t eliminate the need for engineering discipline. It raises the price of not having it. But having the expertise and having enough capacity to apply it are different things.\n\nConsider a team that uses faster implementation to take on a migration it had postponed. That\u2019s a perfectly reasonable use of AI. With AI the team can afford to attempt something valuable, but that doesn\u2019t change the fact that the migration still introduces decisions about compatibility, customer disruption, and which old behaviors must survive. The engineers may now spend more of their day resolving those questions, even if they spend less time writing the changes.\n\nIn other words, the gains are real, but so is the additional responsibility. Comparing the new, more ambitious workload with the old one and concluding that engineering has become easy misses what the team actually bought with its saved time. Nor does this depend entirely on models making mistakes. Better agents can reduce correction and verification work. They can also make previously impractical projects feasible. How much of the resulting capacity becomes breathing room and how much becomes another commitment is a choice the organization has to make.\n\nThe extra work becomes the job\n\nThere\u2019s some research behind this concern, though it\u2019s maybe not as incontrovertible as it appears on the surface. UC Berkeley researchers Aruna Ranganathan and Xingqi Maggie Ye studied AI use at a 200-person technology company over eight months. Their work included observation and more than 40 interviews across functions.\n\nThey s
516aw employees expand their responsibilities, fit prompting into former pauses, and keep more work running simultaneously. Much of this was voluntary, as people were excited by what they could accomplish. The problem was how that excitement reset expectations. As Ye explained, \u201cwhat was once extra effort becomes standard performance.\u201d\n\nThis was qualitative, in-progress research at one company, not proof that AI makes every workplace more exhausting. But it identifies a plausible way productivity gains can become difficult to sustain: A burst of experimentation becomes the ordinary workload against which everyone is measured.\n\nThe management question is what gets counted as success. If the goal is more ambitious work, admit that the team is spending its gains on ambition. If the goal is lower costs, measure the full cost of completing and maintaining the work before assuming the savings. If people are working longer to hit the new targets, some of the apparent improvement may be coming from additional labor.\n\nI recently wrote about the tools developers are building to manage coding agents. Better tools can help people recover context and finish work. They can\u2019t decide how much work management should expect. A well-organized queue can still contain an unreasonable amount of work.\n\nSpend the gains deliberately\n\nWillison\u2019s own work offers a useful example of what productive AI use can look like. In September, he described a security audit of Datasette using several coding agents. External vulnerability reports prompted the audit, and successive rounds uncovered more problems. Willison and Alex Garcia then divided the work. For most issues, one wrote tests demonstrating the problem while the other implemented the fix. Two humans examined each issue alongside agents using different models. Fixes went into the main development branch, with selected changes also applied to the stable release.\n\nAI helped them discover useful work, and they supplied an explicit process for completing it. The additional findings were valuable precisely because the maintainers acted on them. This account doesn\u2019t tell us how many hours AI saved, but it does show why counting findings alone would miss much of the accomplishment. A longer list of vulnerabilities to fix can be evidence of a better audit, making it absurd to call that a failure because it created work. It would be equally absurd to assume the people fixing them had suddenly become less necessary.\n\nFor an engineering leader, that suggests a more useful conversation than demanding another increase in the percentage of code written by AI. Ask the team where the time went. Did a change reach customers sooner? Did the saved implementation time pay for a deeper audit? Did review spill into evenings? These are quite different outcomes, even if the coding agent looked equally impressive in all three.\n\nThen give engineers permission to spend some of the gains on making the next task less demanding. A test that reliably catches a recurring failure, creates a clearer interface, or removes an unnecessary dependency can reduce the decisions someone has to revisit. That work needs room in the plan. Otherwise, every improvement in implementation speed risks being consumed by new features while the cost of understanding the system keeps accumulating.\n\nAn enthusiastic experiment also shouldn\u2019t automatically become next quarter\u2019s staffing assumption. Before turning a burst of output into a standing commitment, find out whether the team sustained it within its normal workday, including review and maintenance. People can choose to throw themselves into an interesting project, but that doesn\u2019t establish how much work they can routinely absorb, and it shouldn\u2019t become an obligation for colleagues who didn\u2019t volunteer for the experiment.\n\nWillison is describing demanding work that can be worth doing. That\u2019s a much more credible case for AI than promising that software engineering will become effortless. Enterprises should pursue the additional capability, then budget honestly for the people and time needed to use it. The productivity gain belongs in the plan once. If the bigger road map only w
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class="social-share-sticky-menu__toggle-button-icon"> 1234 <i class="icon-chevron-down"><svg aria-hidden="true"> 1235 <use xlink:href="#icon-chevron-down"></use> 1236 </svg></i> 1237 </div> 1238 </button> 1239 </div> 1240 </aside> 1241 1242<article id="post-4227238" class="post-4227238 post type-post status-publish format-standard has-post-thumbnail category-artificial-intelligence category-development-approaches category-development-tools category-generative-ai category-application-development languages-en publication-infoworld publication-us-default story_types-opinion origin-wp"> 1243 <section class="foundry-layout-article article"> 1244 <div class="foundry-layout-grid container grid entry-content"> 1245 <div class="foundry-layout-content col-12 col-10@md col-8@lg"> 1246 <div class="core"> 1247 <div class="article__main"> 1248 <header class="article-column grid grid--cols-10@md grid--cols-8@lg"> 1249 <div class="col-12 col-10@md col-6@lg col-start-3@lg "> 1250 <div class="article-column__content"> 1251 <div class="core"> 1252 <? if ( !emtpy($headline_subheadline ) ) : ?> 1253 <h2 class="content-subheadline"> 1254 Companies should be careful about budgeting as though AI has already given them both a larger road map and a smaller need for engineering expertise. </h2> 1255 <? endif; ?> 1256 <p></p> 1257 </div> 1258 <div class="media-with-label"> 1259 <figure> 1260 <div class="image"> 1261 <img width="1024" height="576" src="https://www.infoworld.com/w
1261p-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?quality=50&strip=all&w=1024" class="attachment-post-thumbnail size-post-thumbnail wp-post-image" alt="Hand holding an analog stopwatch on a blue background. Speed, efficiency, performance." data-hero="" loading="eager" decoding="async" fetchpriority="high" srcset="https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?quality=50&strip=all 3840w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=300%2C168&quality=50&strip=all 300w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=768%2C432&quality=50&strip=all 768w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=1024%2C576&quality=50&strip=all 1024w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=1536%2C864&quality=50&strip=all 1536w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=2048%2C1152&quality=50&strip=all 2048w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=1240%2C697&quality=50&strip=all 1240w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=150%2C84&quality=50&strip=all 150w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=854%2C480&quality=50&strip=all 854w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=640%2C360&quality=50&strip=all 640w, https://www.infoworld.com/wp-content/uploads/2026/09/4227238-0-87478400-1790672469-shutterstock_1786594046.jpg?resize=444%2C250&quality=50&strip=all 444w" sizes="(max-width: 1024px) 100vw, 1024px" /> </div> 1262 1263 1264 <div class="media-with-label__label boo"> 1265 Credit: MagicMore / Shutterstock </div> 1266 </figure> 1267 </div> 1268 </div> 1269 </div> 1270 </header> 1271 <div id="remove_no_follow"> 1272 <div class="grid grid--cols-10@md grid--cols-8@lg article-column"> 1273 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1274 <div class="article-column__content"> 1275 1276 1277 1278 1279<p class="wp-block-paragraph">We keep asking whether <a href="https://www.infoworld.com/article/4061121/a-brief-history-of-ai.html">AI</a> can make developers more productive, but that’s the wrong question. We should instead be asking what happens when it does. All those productivity gains can be for good, of course, but they could also be for ill.</p> 1280 1281 1282 1283<p class="wp-block-paragraph"><a href="https://x.com/simonw/status/2103288927805476900">Simon Willison made this clear</a> in a recent post. “The more time I spend working with coding agents, the more convinced I am that they make software engineering even harder.” Wait, what? Why would he say that? Because getting the most from them requires “extraordinary discipline and knowledge.”</p> 1284 1285 1286 1287<p class="wp-block-paragraph">This wasn’t a denunciation of AI coding. If you’ve read Willison for more than a millisecond, you know he’
1287s a fan. Indeed, in his post, he explicitly celebrated what the tools make possible. One respondent apparently missed that, however, warning that without deep expertise, it’s difficult to distinguish correct output from plausible nonsense. <a href="https://x.com/simonw/status/2103567758017638695">Willison’s response</a>? “You’re making the exact same point as me.”</p> 1288</div> 1289 </div> 1290 </div> 1291 <!-- @@AD gpt-leaderboardmainbod-1 PRE @@--><div class="show@md"> 1292 <div class="grid grid--cols-10@md grid--cols-8@lg"> 1293 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1294 <div class="advert advert--bleed-right"> 1295 <div class="advert__container"> 1296 <div class="advert__content"> 1297 <div class="ad page-ad has-ad-prefix ad-article" data-ad-template="article" data-ofp="false"></div> 1298 </div> 1299 </div> 1300 </div> 1301 </div> 1302 </div> 1303 </div> 1304 <!-- @@AD gpt-leaderboardmainbod-1 POST @@--> 1305 <div class="grid grid--cols-10@md grid--cols-8@lg article-column"> 1306 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1307 <div class="article-column__content"> 1308 1309 1310<p class="wp-block-paragraph">This isn’t just retreading familiar ground (that AI still needs experienced engineers to impose that discipline). It’s something different. After all, faster implementation doesn’t automatically create extra human capacity. Yes, it can change the work people attempt, the decisions they must make, and the expectations attached to their jobs. But a team can deliver more and still find the work more demanding. Both can be true.</p> 1311<aside class="jwPlayer--floatingContainer" role="complementary" data-nosnippet> 1312 <div id="jwplayer--floatingVideo" class="jwplayer" data-media-id="wj1ht0vS"></div> 1313 1314</aside> 1315 1316 1317 1318<p class="wp-block-paragraph">Companies should be careful about budgeting as though AI has already given them both a larger road map and a smaller need for engineering expertise. It’s by no means clear that faster coding is an unalloyed good.</p> 1319 1320 1321 1322<h2 class="wp-block-heading"><a></a>Faster isn’t the same as easier</h2> 1323 1324 1325 1326<p class="wp-block-paragraph">In the replies, <a href="https://x.com/hillelogram/status/2103482784606040229">one reader, Hillel, put it neatly</a>: “It doesn’t get easier, you just get faster.” <a href="https://x.com/GeoffreyHuntley/status/2103301129635528977">Geoffrey Huntley concurs</a>, describing the work as “incredibly taxing” even for experienced operators. He reported roughly 16-hour days over the preceding 12 days, explicitly noting that this was his choice, not a requirement at work. That qualification matters because these comments aren’t representative measurements of developer productivity, nor are they evidence that <a href="https://www.infoworld.com/article/3611465/how-ai-agents-will-transform-the-future-of-work.html">agents </a>inevitably exhaust everyone. They’re simply observations from people using the tools <em>enthusiastically</em>. The enthusiasm is part of the story. As more becomes possible, people attempt more.</p> 1327<div class="hellobar" id="hello-bar-1"></div><div id="miso-ipp"></div></div> 1328 </div> 1329 </div> 1330 <!-- @@AD gpt-leaderboardmainbod-2 PRE @@--><div class="show@md"> 1331 <div class="grid grid--cols-10@md grid--cols-8@lg"> 1332 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1333 <div class="advert advert--bleed-right"> 1334 <div class="advert__container"> 1335 <div class="advert__content"> 1336 <div class="ad page-ad has-ad-prefix ad-article" data-ad-template="article" data-ofp="false"></div> 1337 </div> 1338 </div> 1339 </div> 1340 </div> 1341 </div> 1342 </div> 1343 <!-- @@AD gpt-leaderboardmainbod-2 POST @@--> 1344 <div class="grid grid--cols-10@md grid--cols-8@lg article-column"> 1345 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1346 <div class="article-column__content"> 1347 1348 1349<p class="wp-block-paragraph">I’ve argued before that <a href="https://www.infoworld.com/article/4176534/ai-coding-agents-need-good-software-engineers.html">AI coding agents need good software engineers</a>. AI doesn’t eliminate the need for engineering discipline. It raises the price of not having it. But having the expertise and having enough capacity to apply it are different things.</p> 1350 1351 1352 1353<p class="wp-block-paragraph">Consider a team that uses faster implementation to take on a migration it had postponed. That’s a perfectly reasonable use of AI. With AI the team can afford to attempt something valuable, but that doesn’t change the fact that the migration still introduces decisions about compatibility, customer disruption, and which old behaviors must survive. The engineers may now spend more of their day resolving those questions, even if they spend less time writing the changes.</p> 1354 1355 1356 1357<p class="wp-block-paragraph">In other words, the gains are real, but so is the additional responsibility. Comparing the new, more ambitious workload with the old one and concluding that engineering has become easy misses what the team actually bought with its saved time. Nor does this depend entirely on models making mistakes. Better agents can reduce correction and verification work. They can also make previously impractical projects feasible. How much of the resulting capacity becomes breathing room and how much becomes another commitment is a choice the organization has to make.</p> 1358</div> 1359 </div> 1360 </div> 1361 <!-- @@AD gpt-leaderboardmainbod-3 PRE @@--><div class="show@md"> 1362 <div class="grid grid--cols-10@md grid--cols-8@lg"> 1363 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1364 <div class="advert advert--bleed-right"> 1365 <div class="advert__container"> 1366 <div class="advert__content"> 1367 <div class="ad page-ad has-ad-prefix ad-article" data-ad-template="article" data-ofp="false"></div> 1368 </div> 1369 </div> 1370 </div> 1371 </div> 1372 </div> 1373 </div> 1374 <!-- @@AD gpt-leaderboardmainbod-3 POST @@--> 1375 <div class="grid grid--cols-10@md grid--cols-8@lg article-column"> 1376 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1377 <div class="article-column__content"> 1378 1379 1380<h2 class="wp-block-heading"><a></a>The extra work becomes the job</h2> 1381 1382 1383 1384<p class="wp-block-paragraph">There’s some research behind this concern, though it’s maybe not as incontrovertible as it appears on the surface. UC Berkeley researchers Aruna Ranganathan and Xingqi Maggie Ye <a href="https://newsroom.haas.berkeley.edu/ai-promised-to-free-up-workers-time-uc-berkeley-haas-researchers-found-the-opposite/">studied AI use at a 200-person technology company</a> over eight months. Their work included observation and more than 40 interviews across functions.</p> 1385<div id="miso-smart-answers-faq"></div> 1386 1387 1388<p class="wp-block-paragraph">They saw employees expand their responsibilities, fit prompting into former pauses, and keep more work running simultaneously. Much of this was voluntary, as people were excited by what they could accomplish. The problem was how that excitement reset expectations. As Ye explained, “what was once extra effort becomes standard performance.”</p> 1389 1390 1391 1392<p class="wp-block-paragraph">This was qualitative, in-progress research at one company, not proof that AI makes every workplace more exhausting. But it identifies a plausible way productivity gains can become difficult to sustain: A burst of experimentation becomes the ordinary workload against which everyone is measured.</p> 1393<div class="hellobar" id="hello-bar-2"></div></div> 1394 </div> 1395 </div> 1396 <!-- @@AD gpt-leaderboardmainbod-4 PRE @@--><div class="show@md"> 1397 <div class="grid grid--cols-10@md grid--cols-8@lg"> 1398 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1399 <div class="advert advert--bleed-right"> 1400 <div class="advert__container"> 1401 <div class="advert__content"> 1402 <div class="ad page-ad has-ad-prefix ad-article" data-ad-template="article" data-ofp="false"></div> 1403 </div> 1404 </div> 1405 </div> 1406 </div> 1407 </div> 1408 </div> 1409 <!-- @@AD gpt-leaderboardmainbod-4 POST @@--> 1410 <div class="grid grid--cols-10@md grid--cols-8@lg article-column"> 1411 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1412 <div class="article-column__content"> 1413 1414 1415<p class="wp-block-paragraph">The management question is what gets counted as success. If the goal is more ambitious work, admit that the team is spending its gains on ambition. If the goal is lower costs, measure the full cost of completing and maintaining the work before assuming the savings. If people are working longer to hit the new targets, some of the apparent improvement may be coming from additional labor.</p> 1416 1417 1418 1419<p class="wp-block-paragraph">I recently <a href="https://www.infoworld.com/article/4221481/the-best-ide-for-agentic-ai-may-not-be-an-ide-at-all.html">wrote about the tools developers are building</a> to manage coding agents. Better tools can help people recover context and finish work. They can’t decide how much work management should expect. A well-organized queue c
1419an still contain an unreasonable amount of work.</p> 1420 1421 1422 1423<h2 class="wp-block-heading"><a></a>Spend the gains deliberately</h2> 1424 1425 1426 1427<p class="wp-block-paragraph">Willison’s own work offers a useful example of what productive AI use can look like. In September, he <a href="https://datasette.io/blog/2026/september-security-releases/">described a security audit of Datasette</a> using several coding agents. External vulnerability reports prompted the audit, and successive rounds uncovered more problems. Willison and Alex Garcia then divided the work. For most issues, one wrote tests demonstrating the problem while the other implemented the fix. Two humans examined each issue alongside agents using different models. Fixes went into the main development branch, with selected changes also applied to the stable release.</p> 1428</div> 1429 </div> 1430 </div> 1431 <!-- @@AD gpt-leaderboardmainbod-5 PRE @@--><div class="show@md"> 1432 <div class="grid grid--cols-10@md grid--cols-8@lg"> 1433 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1434 <div class="advert advert--bleed-right"> 1435 <div class="advert__container"> 1436 <div class="advert__content"> 1437 <div class="ad page-ad has-ad-prefix ad-article" data-ad-template="article" data-ofp="false"></div> 1438 </div> 1439 </div> 1440 </div> 1441 </div> 1442 </div> 1443 </div> 1444 <!-- @@AD gpt-leaderboardmainbod-5 POST @@--> 1445 <div class="grid grid--cols-10@md grid--cols-8@lg article-column"> 1446 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1447 <div class="article-column__content"> 1448 1449 1450<p class="wp-block-paragraph">AI helped them discover useful work, and they supplied an explicit process for completing it. The additional findings were valuable precisely because the maintainers acted on them. This account doesn’t tell us how many hours AI saved, but it does show why counting findings alone would miss much of the accomplishment. A longer list of vulnerabilities to fix can be evidence of a better audit, making it absurd to call that a failure because it created work. It would be equally absurd to assume the people fixing them had suddenly become less necessary.</p> 1451 1452 1453 1454<p class="wp-block-paragraph">For an engineering leader, that suggests a more useful conversation than demanding another increase in the percentage of code written by AI. Ask the team where the time went. Did a change reach customers sooner? Did the saved implementation time pay for a deeper audit? Did review spill into evenings? These are quite different outcomes, even if the coding agent looked equally impressive in all three.</p> 1455 1456 1457 1458<p class="wp-block-paragraph">Then give engineers permission to spend some of the gains on making the next task less demanding. A test that reliably catches a recurring failure, creates a clearer interface, or removes an unnecessary dependency can reduce the decisions someone has to revisit. That work needs room in the plan. Otherwise, every improvement in implementation speed risks being consumed by new features while the cost of understanding the system keeps accumulating.</p> 1459</div> 1460 </div> 1461 </div> 1462 <!-- @@AD gpt-leaderboardmainbod-6 PRE @@--><div class="show@md"> 1463 <div class="grid grid--cols-10@md grid--cols-8@lg"> 1464 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1465 <div class="advert advert--bleed-right"> 1466 <div class="advert__container"> 1467 <div class="advert__content"> 1468 <div class="ad page-ad has-ad-prefix ad-article" data-ad-template="article" data-ofp="false"></div> 1469 </div> 1470 </div> 1471 </div> 1472 </div> 1473 </div> 1474 </div> 1475 <!-- @@AD gpt-leaderboardmainbod-6 POST @@--> 1476 <div class="grid grid--cols-10@md grid--cols-8@lg article-column"> 1477 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1478 <div class="article-column__content"> 1479 1480 1481<p class="wp-block-paragraph">An enthusiastic experiment also shouldn’t automatically become next quarter’s staffing assumption. Before turning a burst of output into a standing commitment, find out whether the team sustained it within its normal workday, including review and maintenance. People can choose to throw themselves into an interesting project, but that doesn’t establish how much work they can routinely absorb, and it shouldn’t become an obligation for colleagues who didn’t volunteer for the experiment.</p> 1482 1483 1484 1485<p class="wp-block-paragraph">
1485Willison is describing demanding work that can be worth doing. That’s a much more credible case for AI than promising that software engineering will become effortless. Enterprises should pursue the additional capability, then budget honestly for the people and time needed to use it. The productivity gain belongs in the plan once. If the bigger road map only works because engineers extend their workday, some of that gain is coming from the engineers working more, with the AI simply serving as taskmaster.</p> 1486</div></div></div></div><div class="grid grid--cols-10@md grid--cols-8@lg article-column"> 1487 <div class="col-12 col-10@md col-6@lg col-start-3@lg"> 1488 <div class="card__tags"><span class="card__tag"><a href="https://www.infoworld.com/artificial-intelligence/" class="tag">Artificial Intelligence</a></span><span class="card__tag"><a href="https://www.infoworld.com/generative-ai/" class="tag">Generative AI</a></span><span class="card__tag"><a href="https://www.infoworld.com/development-tools/" class="tag">Development Tools</a></span><span class="card__tag"><a href="https://www.infoworld.com/software-development/" class="tag">Software Development</a></span><span class="card__tag"><a href="https://www.infoworld.com/development-approaches/" class="tag">Development Approaches</a></span></div></div></div><div class="grid grid--cols-10@md grid--cols-8@lg article-column" id="newsletter-end-wrapper"><div class="col-12 col-10@md col-6@lg col-start-3@lg"><div class="article-column__content"><div id="newsletter-end" class="newsletter"></div></div></div></div> </div> 1489 </div> 1490 </div> 1491 <div class="foundry-layout-sidebar col-12 col-10@md col-3@lg col-start-10@lg" id="rightrail-wrapper" data-sticky="true"> 1492 <div class="article__side"> 1493 <div class="show@lg rightTrailAd"> 1494 <div class="advert advert--bleed-left"> 1495 <div class="advert__container"> 1496 <div class="advert__content"> 1497 <div class="ad page-ad has-ad-prefix ad-right-rail is-sticky" data-ad-template="right_rail" data-ofp="false"></div> 1498 </div> 1499 </div> 1500 </div> 1501 </div> </div> 1502 </div> 1503 </div> 1504 </section> 1505</article> 1506<div class="author-bio"> 1507 <div class="container grid"> 1508 <div class="col-12 col-8@md author-bio__content"> 1509 <div class="grid grid--cols-8@md author-bio__author"> 1510 <div class="col-12 col-8@md col-2@lg"> 1511 <div class="author-bio__image"> 1512 <div class="image image--rounded image--aspect-ratio-2-3"> 1513 <img data-hero alt="Matt Asay" src="https://www.infoworld.com/wp-content/uploads/2026/09/2002-0-72022100-1790672454-screen-shot-2017-10-02-at-10.44.49-am-100796432-orig.png?w=182" class="author_photo" height="250" width="250" /> </div> 1514 </div> 1515 </div> 1516 1517 <div class="col-12 col-8@md col-6@lg"> 1518 <div class="author-bio__details" itemscope itemtype="https://schema.org/Person"> 1519 <div class="author-bio__details-top"> 1520 <div class="author-bio__author"> 1521 <div class="author"> 1522 <div class="author__content"> 1523 <div class="author__name" itemprop="name"> 1524 by <a href="https://www.infoworld.com/profile/matt-asay/" itemprop="url" aria-label="Author profile"> 1525 Matt Asay </a> 1526 </div> 1527 1528 <div class="author__info"> 1529 <span itemprop="jobTitle">Contributing Writer</span> 1530 1531 1532 </div> 1533 </div> 1534 1535 </div> 1536 </div> 1537 1538 <div class="author-bio__social"> 1539 <ol> 1540 <li><a href="https://www.twitter.com/mjasay" aria-label="Follow Matt Asay on X" target="_blank" rel="noreferrer noopener"> 1541 <i class="icon-x"><svg><use xlink:href="#icon-x"></use></svg></i> 1542 <span class="sr-only">Follow Matt Asay on X</span> 1543 </a></li><li><a href="https://www.linkedin.com/in/mjasay" aria-label="Follow Matt Asay on LinkedIn" target="_blank" rel="noreferrer noopener"> 1544 <i class="icon-linkedin"><svg><use xlink:href="#icon-linkedin"></use></svg></i>
1545 <span class="sr-only">Follow Matt Asay on LinkedIn</span> 1546 </a></li> </ol> 1547 </div> 1548 </div> 1549 1550 <div class="author-bio__bio"> 1551 <p itemprop="description">Matt Asay runs developer marketing at <a href="https://www.oracle.com/">Oracle</a>. Previously Asay ran developer relations at <a href="https://www.mongodb.com/">MongoDB</a>, and before that he was a Principal at <a href="https://aws.amazon.com/">Amazon Web Services and Head of Developer Ecosystem for <a href="https://www.adobe.com/">Adobe</a>. Prior to Adobe, Asay held a range of roles at open source companies: VP of business development, marketing, and community at MongoDB; VP of business development at real-time analytics company Nodeable (acquired by Appcelerator); VP of business development and interim CEO at mobile HTML5 start-up Strobe (acquired by Facebook); COO at <a href="https://canonical.com/">Canonical</a>, the Ubuntu Linux company; and head of the Americas at Alfresco, a content management startup. Asay is an emeritus board member of the <a href="https://opensource.org/">Open Source Initiative (OSI)</a> and holds a JD from Stanford, where he focused on open source and other IP licensing issues. The views expressed in Mattâs posts are Mattâs, and donât represent the views of his employer.</p> 1552 </div> 1553 1554 <details class="accordion" data-accordion-enabled="mobile,desktop" data-accordion-expanded=""> 1555 <summary data-accordion-summary class="accordion__summary"> 1556 <div class="accordion__title"> 1557 <h2 class="author-bio__cards-title">More from this author</h2> 1558 </div> 1559 <div class="accordion__icon"> 1560 <svg class="icon" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"> 1561 <use xlink:href="#icon-circle-chevron-down"></use> 1562 </svg> 1563 </div> 1564 </summary> 1565 <div class="accordion__content" data-accordion-content> 1566 <div class="author-bio__cards-container"> 1567 <ul class="author-bio__cards"><li class="author-bio__card"><a class="card" href="https://www.infoworld.com/article/4224053/fixing-agent-memory.html" rel="noreferrer" aria-label="Go to content" itemprop="url"><div class="card__header"><span class="card__content-type">opinion</span></div><h3 class="card__title"><span>Fixing agent memory</span></h3> <div class="card__info card__info--light"><span>Sep 22, 2026 </span><span>7 mins</span></div></a></li><li class="author-bio__card"><a class="card" href="https://www.infoworld.com/article/4221481/the-best-ide-for-agentic-ai-may-not-be-an-ide-at-all.html" rel="noreferrer" aria-label="Go to content" itemprop="url"><div class="card__header"><span class="card__content-type">opinion</span></div><h3 class="card__title"><span>The best IDE for agentic AI may not be an IDE at all</span></h3> <div class="card__info card__info--light"><span>Sep 15, 2026 </span><span>7 mins</span></div></a></li><li class="author-bio__card"><a class="card" href="https://www.infoworld.com/article/4218911/ai-wont-kill-saas.html" rel="noreferrer" aria-label="Go to content" itemprop="url"><div class="card__header"><span class="card__content-type">opinion</span></div><h3 class="card__title"><span>AI wonât kill SaaS</span></h3> <div class="card__info card__info--light"><span>Sep 8, 2026 </span><span>7 mins</span></div></a></li><li class="author-bio__card"><a class="card" href="https://www.infoworld.com/article/4215481/why-tech-needs-a-new-kind-of-english-major.html" rel="noreferrer" aria-label="Go to content" itemprop="url"><div class="card__header"><span class="card__content-type">opinion</span></div><h3 class="card__title"><span>Why tech needs a new kind of English major</span></h3> <div class="card__info card__info--light"><span>Sep 1, 2026 </span><span>7 mins</span></div></a></li><li class="author-bio__card"><a class="card" href="https://www.infoworld.com/article/4212596/giving-agents-bounded-autonomy.html" rel="noreferrer" aria-label="Go to content" itemprop="url"><div class="card__header"><span class="card__content-type">opinion</span></div><h3 class="card__title"><span>Giving agents bounded autonomy</span></h3> <div class="card__info card__info--light"><span>
1567Aug 25, 2026 </span><span>7 mins</span></div></a></li><li class="author-bio__card"><a class="card" href="https://www.infoworld.com/article/4210007/accelerating-ai-innovation-through-open-weights.html" rel="noreferrer" aria-label="Go to content" itemprop="url"><div class="card__header"><span class="card__content-type">opinion</span></div><h3 class="card__title"><span>Accelerating AI innovation through open weights</span></h3> <div class="card__info card__info--light"><span>Aug 18, 2026 </span><span>8 mins</span></div></a></li><li class="author-bio__card"><a class="card" href="https://www.infoworld.com/article/4206933/getting-the-feedback-loop-correct-in-ai.html" rel="noreferrer" aria-label="Go to content" itemprop="url"><div class="card__header"><span class="card__content-type">opinion</span></div><h3 class="card__title"><span>Getting the feedback loop correct in AI</span></h3> <div class="card__info card__info--light"><span>Aug 11, 2026 </span><span>8 mins</span></div></a></li></ul> </div> 1568 </div> 1569 1570 </details> 1571 </div> 1572 </div> 1573 </div> 1574 </div> 1575 1576 </div> 1577</div> 1578
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1939<script id="enqueued-script-consent-manager-js-after"> 1940(function(){ 1941 //todo put somewhere common as needed elsewhere in other tickets. 1942 //look for the cookie for content pass 1943 const isContentPassCookiePresent = function () { 1944 const data = (document.cookie.match(/^(?:.*;)?\s*_cpauthhint\s*=\s*([^;]+)(?:.*)?$/) || [,null])[1]; //eslint-disable-line 1945 if (data) return true; 1946 return false; 1947 }; 1948 //fire the admiral script wrapped in consent or not 1949 const fireScript = function(isConsentRequired){ 1950 window.admiral = window.admiral || function() {(admiral.q = admiral.q || []).push(arguments)}; 1951 window.admiral('targeting', 'set', 'story_type', 'Opinion'); 1952 window.admiral('targeting', 'set', 'is_article', 'yes'); 1953 1954 if(isConsentRequired){ 1955 document.addEventListener('consentManagerReady', () => { 1956 if(consentManager.consentedAll === true){ 1957 console.log('++Admiral firing - with consent'); 1958 !(function(h,_name,r,Q,i){i=function(){(i.q=i.q||[]).push(arguments)},h[_name=r(r(_name))]=h[_name]||i,h[_name].v=h[_name].v||4,h[_name].s=3+0})(window,'%25%36%31dm%25%36%39%25%37%32%25%36%31%256C',decodeURI
1958);!(function(h,r,Q,i,E,e,d,x,B){e=function(r,s){return r<2&&s};try{r[Q]=r[Q]||function(h){h?d[h]=!0:e()},d=r[Q]}catch(l){return void e()}!(function y(r,Q,T,O){function c(){try{if(d[T&&T.src||Q]||d[x])return}catch(l){return void e()}T&&(T.remove(),T=null),clearTimeout(B),!r&&Q&&(Q+=(-1===Q.indexOf("?")?"?":"&")+"r=1"),(Q=e(++r,Q))&&y(r,Q)}(T=h.createElement(i)).__apNoHold=!0,O=h.getElementsByTagName(i)[0],T.async=1,T.src=Q,r>0&&(T.fetchPriority="high"),B=setTimeout(c,6e3+2e3*r),T[E]("error",c),T[E]("load",c),O.parentNode.insertBefore(T,O)})(0,x="https://coloradoserves.com/chunks/j38d0hzgy_spu.main.js")})(document,window,"QS01QUY4RUI2NENDQTk4MzZCNkE2OUNDNkYtMTg","script","addEventListener",{});; 1959; 1960!(function(h,r,Q,i,E,e,d,x,B,l,y,_name,T,O,c,v,t,S,N,p,C,n){_name=(y=function(h){return r(r(h))})('a%25%364m%25%369%72%256%31%6C'),T=h.localStorage,O=h.sessionStorage,c=y('%255%46%25%361dm%25%372%256Cck%76%257%30'),t=h.location;try{0===document.referrer.indexOf(t.origin)?(v=new URLSearchParams(t.search)).get(y('%25%35Fa%63%2572%69'))?((S=v.get(y('%5F%25%361c%74')))===y('%25%365%25%378%257%34%256%35nd')?N=[["admir\u0061l\u002d\u0065\u0078t\u0065\u006e\u0064ed","true"||_name]]:S===y('%73%25%368%25%36%31%2570%2565')&&(N=[["a\u0064\u006di\u0072al\u002d\u0073\u0068ap\u0065\u0064","true"||_name]]),N&&(O[c]=JSON.stringify(N))):N=JSON.parse(O[c]||"[]"):delete O[c]}catch(b){N=[]}function I(r,Q){try{r=JSON.parse(T["_aQS01QUY4RUI2NENDQTk4MzZCNkE2OUNDNkYtMTg"]||"{}").lgk||[]}catch(b){r=[]}N&&(r=r.concat(N)),r&&r.length&&(Q=h[p].pubads())&&r.forEach((function(h){h&&h[0]&&Q.setTargeting(h[0],h[1]||"")}))}p=y('go%6F%2567%6Ce%2574%2561g');try{n=(C=h[p]=h[p]||{}).cmd=C.cmd||[],typeof C.pubads===Q?I():typeof n.unshift===Q?n.unshift(I):n.push(I)}catch(b){}})(window,decodeURI,"function");; 1961 }else{ 1962 console.warn('++Admiral not firing - consent all='+consentManager.consentedAll); 1963 } 1964 }); 1965 }else{ 1966 console.log('++Admiral firing - no consent needed'); 1967 !(function(h,_name,r,Q,i){i=function(){(i.q=i.q||[]).push(arguments)},h[_name=r(r(_name))]=h[_name]||i,h[_name].v=h[_name].v||4,h[_name].s=3+0})(window,'%25%36%31dm%25%36%39%25%37%32%25%36%31%256C',decodeURI
1967);!(function(h,r,Q,i,E,e,d,x,B){e=function(r,s){return r<2&&s};try{r[Q]=r[Q]||function(h){h?d[h]=!0:e()},d=r[Q]}catch(l){return void e()}!(function y(r,Q,T,O){function c(){try{if(d[T&&T.src||Q]||d[x])return}catch(l){return void e()}T&&(T.remove(),T=null),clearTimeout(B),!r&&Q&&(Q+=(-1===Q.indexOf("?")?"?":"&")+"r=1"),(Q=e(++r,Q))&&y(r,Q)}(T=h.createElement(i)).__apNoHold=!0,O=h.getElementsByTagName(i)[0],T.async=1,T.src=Q,r>0&&(T.fetchPriority="high"),B=setTimeout(c,6e3+2e3*r),T[E]("error",c),T[E]("load",c),O.parentNode.insertBefore(T,O)})(0,x="https://coloradoserves.com/chunks/j38d0hzgy_spu.main.js")})(document,window,"QS01QUY4RUI2NENDQTk4MzZCNkE2OUNDNkYtMTg","script","addEventListener",{});; 1968; 1969!(function(h,r,Q,i,E,e,d,x,B,l,y,_name,T,O,c,v,t,S,N,p,C,n){_name=(y=function(h){return r(r(h))})('a%25%364m%25%369%72%256%31%6C'),T=h.localStorage,O=h.sessionStorage,c=y('%255%46%25%361dm%25%372%256Cck%76%257%30'),t=h.location;try{0===document.referrer.indexOf(t.origin)?(v=new URLSearchParams(t.search)).get(y('%25%35Fa%63%2572%69'))?((S=v.get(y('%5F%25%361c%74')))===y('%25%365%25%378%257%34%256%35nd')?N=[["admir\u0061l\u002d\u0065\u0078t\u0065\u006e\u0064ed","true"||_name]]:S===y('%73%25%368%25%36%31%2570%2565')&&(N=[["a\u0064\u006di\u0072al\u002d\u0073\u0068ap\u0065\u0064","true"||_name]]),N&&(O[c]=JSON.stringify(N))):N=JSON.parse(O[c]||"[]"):delete O[c]}catch(b){N=[]}function I(r,Q){try{r=JSON.parse(T["_aQS01QUY4RUI2NENDQTk4MzZCNkE2OUNDNkYtMTg"]||"{}").lgk||[]}catch(b){r=[]}N&&(r=r.concat(N)),r&&r.length&&(Q=h[p].pubads())&&r.forEach((function(h){h&&h[0]&&Q.setTargeting(h[0],h[1]||"")}))}p=y('go%6F%2567%6Ce%2574%2561g');try{n=(C=h[p]=h[p]||{}).cmd=C.cmd||[],typeof C.pubads===Q?I():typeof n.unshift===Q?n.unshift(I):n.push(I)}catch(b){}})(window,decodeURI,"function"); 1970 } 1971 }; 1972 const isEu = IDG?.isEuVisitor === '1'; 1973 //const isCPEnabledOnSite = IDG?.isCPEnabled === '1'; 1974 const isCPActiveOnGeo = IDG?.isCPActiveOnThisGeo === '1'; 1975 const isCPCookiePresent = isContentPassCookiePresent(); 1976 1977 let isConsentRequired = true; 1978 if(isEu){ 1979 if(isCPActiveOnGeo){ 1980 if(isCPCookiePresent){ 1981 ;//consent needed 1982 }else{ 1983 isConsentRequired = false; 1984 } 1985 }else if ('SE' === IDG?.geolocation) { 1986 //hack job for SE as they dont have Reject ALL 1987 isConsentRequired = false; 1988 }else{ 1989 ;//consent needed 1990 } 1991 }else{ 1992 ;// check consent but if GPP or ROW will just fall through 1993 } 1994 console.log('++Admiral isEu=',isEu,'geo',IDG?.geolocation,'isCPActiveOnGeo=',isCPActiveOnGeo,'isCPCookiePresent=',isCPCookiePresent,'isConsentRequired=',isConsentRequired); 1995 fireScript(isConsentRequired); 1996 })(); 1997 1998 document.addEventListener('consentManagerReady', () => { 1999 const hasConsentYouTube = consentManager.checkConsentByVendors([ 2000 'YouTube', 2001 'YT' 2002 ]); 2003 2004 if (hasConsentYouTube.some(vendor => vendor['Has Consent'] === false)) { 2005 console.log('[YOUTUBE SCRIPT] Consent not given for YouTube.'); 2006 } else { 2007 console.log('[YOUTUBE SCRIPT] Consent given for YouTube. Loading script...'); 2008 } 2009 }); 2010 2011 2012 document.addEventListener('consentManagerReady', () => { 2013 const hasConsentAdobeTypekit = consentManager.checkConsentByVendors([ 2014 'Adobe Typekit' 2015 ]); 2016 2017 if (hasConsentAdobeTypekit.every(vendor => vendor['Has Consent'] === true)) { 2018 if (foundry_is_edition('kr')) { 2019 const link = document.createElement('link'); 2020 link.rel = 'stylesheet'; 2021 link.href = 'https://use.typekit.net/ihi5tse.css'; 2022 document.head.appendChild(link); 2023 } 2024 } 2025 }); 2026 2027 (function(){ 2028 document.addEventListener('consentManagerReady', () => {
2029 const key = 's1gr1xsv4j'; 2030 const debug = consentManager.debug; 2031 if ( ! (key && key.length > 3)){ 2032 console.warn('[MS Clarity] is enabled but key is too short key=' + key); 2033 return; 2034 } 2035 2036 const hasConsent = consentManager.checkConsentByVendor('Microsoft Clarity'); 2037 if (debug) console.log('[MS CLARITY] hasConsent =',hasConsent ); 2038 if(hasConsent){ 2039 (function(c,l,a,r,i,t,y){ 2040 c[a]=c[a]||function(){(c[a].q=c[a].q||[]).push(arguments)}; 2041 t=l.createElement(r);t.async=1;t.src="https://www.clarity.ms/tag/"+i; 2042 y=l.getElementsByTagName(r)[0];y.parentNode.insertBefore(t,y); 2043 })(window, document, "clarity", "script", key); 2044 2045 if (debug) console.log('[MS CLARITY] checkClarityLoaded allowCookies= typeof window.clarity=', (typeof window.clarity) ); 2046 window.clarity("consent"); 2047 } 2048 }); 2049 })(); 2050 2051 document.addEventListener('consentManagerReady', () => { 2052 const vendors = ['Subscribers']; 2053 const hasConsentSubscribers = consentManager.checkConsentByVendors(vendors); 2054 2055 if (hasConsentSubscribers.some(vendor => vendor['Has Consent'] === false)) { 2056 return; 2057 2058 } else { 2059 2060 if (foundry_is_language('en')) { 2061 console.log('Language is English'); 2062 // subscribers english .. 2063 } 2064 2065 if (foundry_is_edition('kr')) { 2066 console.log('Edition is Korean'); 2067 // subscribers in korean .. 2068 } 2069 2070 if (foundry_is_edition('ja')) { 2071 console.log('Edition is Japanese'); 2072 // subscribers in japanese .. 2073 } 2074 2075 } 2076 }); 2077</script>
vendor: 1 bytes, line 2077
2077
2078<script type="text/javascript" src="https://www.infoworld.com/_static/??-eJylkLEOwjAMRH+IkAJD6YAYGFjogip2JzXBJY2r2AL170FFYoeup7unu7PPwXhOikmt3rBHsdQG49bOOBA0k2YjOSs+06BiPfcDp7ffXJkV87KThf2dEkFkeUStIUGYRzkjtDVn/JPx3ZPgQQGUOM1p03AIEQ+f5IWEHEXScQ6yBYUTjJibDP4+nbXvd6uyKspttSnK7gUyPKbU" ></script>
2078<script type="text/javascript" src="https://www.infoworld.com/wp-content/themes/idg-b2b-base-theme/src/static/js/highlighter.js?m=1790789307g" ></script>
2078 2079</body> 2080</html>
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.