Roughly one-third of senior developers with over ten years of experience regularly use AI tools to build software, nearly two and a half times the rate of junior colleagues. Developers at all levels report that fixing faulty AI-generated code often negates time savings and requires manual remediation. Senior developers are more likely to invest time editing AI output; just under 30% of seniors reported editing AI output enough to offset most time savings, compared to 17% of juniors. Many developers report increased time debugging and resolving vulnerabilities, yet over half of seniors say AI helps them ship faster overall.
A study from Fastly shows roughly one-third of senior developers, classed as those with over 10 years of experience, regularly use AI tools to build software. This is nearly two and a half times the rate of junior colleagues, the study noted. While Fastly said the study highlights the growing appeal of AI-generated code, there are notable downsides - mainly fixing faulty code. Developers across all levels reported issues in this regard, with time savings often being negated by manual remediation.
Remediating faulty code has emerged as a key hurdle for developers using AI tools in recent months. Google's 2024 State of DevOps report noted growing developer concerns about code quality, for example. A similar study from Cloudsmith in June 2025 warned some enterprises were overlooking key security considerations in a bid to drive efficiency. Analysis from Harness in January this year found the issue had reached such an extent that developers were growing frustrated with the new tools at their disposal.
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