AI coding agents are autonomous developer tools integrated with your repositories, CI, and review standards. Built for engineering teams buried in migrations, test gaps, and review backlog, they review PRs against your conventions, generate passing tests, and open changes as branches — never pushing to protected paths without approval.
Agents for the engineering work nobody volunteers for
PR Review Agents
Review against your codebase conventions, architectural decisions and past review comments — not a generic best-practice checklist. The agent learns what your senior engineers actually flag and stops flagging what they ignore.
Test Generation
Tests written in your framework, matching your fixtures and naming, targeting the branches your coverage report says are naked. Generated tests are run and must pass before the PR opens — no agent submitting broken tests.
Migration Sweeps
Framework upgrades, API deprecations, dependency bumps and codemod-style refactors applied consistently across hundreds of files, split into reviewable PRs sized for a human to actually read.
Bug Triage & Repro
Agents that take an incoming issue, reproduce it against the current branch, localise it to a file and function, and attach the failing test — turning triage from an afternoon into a queue your engineers can pick from.
Documentation Agents
Docs, changelogs and ADR drafts generated from the actual diff and kept in sync as the code moves, so documentation stops being the thing that is always six months stale.
Security & Dependency Sweeps
Agents that track advisories against your dependency graph, assess real exploitability in your usage, and open the upgrade PR with the breaking changes already summarised.
From repo access to merged PRs
Codebase Grounding
We index your repos, conventions, ADRs and — most valuably — your historical review comments. What your team argues about in review is the highest-signal training material available for a review agent.
Sandboxed Execution
The agent runs in an isolated environment with scoped, revocable credentials, no production access, and no secrets in context. It proposes changes as branches and PRs; it never pushes to protected branches.
Comment-Only Pilot
First release comments but does not change code. You measure how often its comments are useful versus noise, and we tune until the signal is good enough that engineers stop ignoring it.
Graduated Write Access
Then the agent opens PRs for the low-risk categories first — tests, docs, dependency bumps — with human review always required. Autonomy expands per category based on merge rate, never all at once.
Measure Merge Rate
The only metric that matters is what fraction of agent PRs get merged without heavy rewriting. Volume of suggestions is a vanity metric; merged code is the product.
Coding Agents
FAQ.
Common questions about custom AI coding agents — how they differ from assistants, source access, legacy codebases, safety and running cost.
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