product
CI when your teammates are agents
AI coding agents push far more often than humans. Here is how that changes pipeline design and cost control.
Jess Okonkwo · Co-founder · 2026-08-11 · 7 min read
Repositories with active coding agents show push frequency several times higher than human-only repositories, arriving in bursts as an agent iterates towards a green build.
What changes
- Concurrency cancellation stops being an optimisation and becomes a requirement
- Budget caps stop being a nice-to-have — an agent loop can run up an unbounded bill
- Fast feedback matters more, because the agent is blocked on it in a tight loop
- Draft pull requests should run a reduced pipeline until marked ready
Giving agents better data
An agent debugging a CI failure from log text alone is working with very little. Exposing build history, durations and failure patterns over MCP lets it compare against a baseline rather than guessing, which measurably shortens the loop.
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