May 19, 2026
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. After rolling out an AI-coding assistant, velocity metrics improve quickly: pull requests (PRs) get bigger, cycle times shorten, and sprint records fall. Then, a few months in, the on-call rotation gets brutal. More tooling, faster shipping, and worse reliability.
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May 19, 2026
