Atlassian Survey Finds AI Coding Saves Time but Developers Lose Gains to Review Work

Software developers are producing code faster with artificial intelligence, but the hours gained are being absorbed by review work and organizational bottlenecks, according to a survey published this week by the Australian software company Atlassian. The State of Developer Experience Report 2026, based on responses from more than 1,500 software practitioners, found that the promise of faster delivery is not yet translating into measurable productivity gains across the wider software development lifecycle.

Faster Code, Slower Workflows

The survey found that 87 percent of developers said AI helps them ship work faster, and 80 percent said it lets them deliver more without working longer hours. Yet only 28 percent reported noticeably less friction in their daily workflow than before AI arrived. Nearly three quarters said they face the same amount of friction, or more, across the development lifecycle.

The gap shows up in the time developers say they actually save. The share reporting savings of at least ten hours a week fell from 68 percent in 2025 to 25 percent in 2026. Meanwhile, 49 percent said they spend four or more hours every week reviewing AI-generated output, correcting prompts and handling related tasks. Two thirds said they have to spend time fixing errors in AI-assisted work.

Atlassian's findings point to workflow bottlenecks rather than coding speed as the constraint. Half of the developers surveyed said they spend too much time searching for information and attending meetings, and 45 percent blamed context switching. The company said speeding up coding on its own will not produce business outcomes unless the rest of the delivery process keeps pace.

Pressure to Adopt AI

The report also raises questions about how organizations are pushing AI tools into daily work. While 64 percent of leaders associated greater AI usage with better outcomes, 41 percent of developers said they sometimes use AI more than necessary because they feel expected to do so. Only 17 percent of developers and 23 percent of leaders said their organizations had a clearly communicated and actively implemented AI strategy across the software lifecycle.

Karnnika A Seth, a legal advisor and cybersecurity specialist who advises India's Ministry of Electronics and Information Technology and the Defence Research and Development Organisation, told reporters that a large amount of manpower goes into correcting and sanitizing prompts and machine-written code. She said responsible AI tools matter more than products built mainly to attract attention.

The survey adds to a growing body of evidence that AI assistants shift rather than remove work. Separate research cited in coverage of the report found that eight in ten developers now spend more time reviewing code and completing invisible tasks that do not appear in delivery metrics.

What to Watch

For working developers, the results suggest that judgment, code review and system knowledge remain central skills even as AI writes more of the first draft. Organizations that measure only lines of code or release speed may miss the review load that AI places on their teams. Analysts are likely to watch whether companies publish clearer AI strategies for the software lifecycle, and whether tool makers address the information search and context switching problems that developers named as their biggest friction points.