AI coding made us faster. Why did incidents increase?
The introduction of AI coding assistants has led to increased speed in software development but also a rise in incidents. While teams experience improved velocity metrics, they also face higher change failure rates. The effectiveness of AI tools largely depends on the existing delivery practices within organizations.
- ▪AI coding assistants improve velocity metrics, leading to larger pull requests and shorter cycle times.
- ▪Teams with higher AI adoption have reported increased change failure rates, resulting in more production failures.
- ▪Organizations with established practices like contract testing and canary deployments tend to see a decrease in change failure rates after adopting AI.
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AI AI coding made us faster. Why did incidents increase? AI coding made us faster. Why did incidents increase? Faster code. Slower, harder incidents. By Parthiban Rajasekaran May 19, 2026 You have 1 article left to read this month before you need to register a free LeadDev.com account. Estimated reading time: 7 minutes Key takeaways: AI amplifies whatever your delivery process already is. Strong practices get faster. Weak ones get paged at midnight. The self-grading loop is your biggest hidden risk: when the model writes code and tests, it tests its own assumptions. Observability is a release gate, not an afterthought. Across engineering organizations, a pattern has become consistent.
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