AI writes half of devs’ code now — but the hours didn’t shrink
BairesDev surveyed 705 developers and 41 enterprise CTOs in mid-September. The headline number: developers using AI to write half or more of their code jumped from 12 percent to 42 percent year over year. That is a 3x increase in twelve months.
Where the time actually goes
AI coding assistants save developers roughly 13 hours per week in raw code-writing time. None of that translated into shorter workweeks. Instead, those hours moved into reviewing AI-generated output, debugging model-introduced errors, and staying current on a tool landscape that keeps changing.
Only 21 percent of developers now spend more than half their week writing code from scratch. The rest have shifted toward verification, refinement, and integration tasks. Sixty-seven percent say they spend more time reviewing AI-produced code than they did a year ago. Fifty-two percent report increased debugging aimed specifically at issues the models created.
What CTOs are doing with the data
Seventy-eight percent of the CTOs surveyed have increased spending on review, quality assurance, and validation. Headcount is not shrinking. It is being redirected toward AI tool fluency, data engineering for model improvement, AI-specific QA, and security practices built around machine-generated code.
Security is a real concern. Thirty-eight percent of developers said they discovered security flaws traceable to AI suggestions within the past six months. Many organizations now route all AI-generated code through static analysis and require human sign-off before merging to main. Some have deployed private model instances trained only on approved internal codebases, though that approach raises infrastructure costs.
The broader picture
Overall, 72 percent of developers use AI tools for 25 percent or more of their code, across experience levels and company sizes. Adoption is highest at startups and mid-sized tech firms. North American teams reported slightly lower adoption than Latin American and European counterparts, possibly due to stricter compliance requirements in regulated industries.
Eighty-four percent of CTOs plan to increase investment in AI coding tools over the next 12 months. Only 9 percent of respondents believe AI will eliminate the need for human developers within five years. The dominant view positions AI as a powerful junior pair programmer, not a replacement.
One senior engineer, quoted in Fudzilla’s coverage, put it plainly:
Writing less but thinking more.Syntax is increasingly the machine’s problem. System behavior, edge cases, and alignment with business requirements are still yours.
I’m founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs.
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