Developer Workflow
Multi-AI Code Review: Coder Plus Reviewer in One Workflow
Single-model code review suffers the same blind spot as single-model authorship: the same assumptions that produced the bug often validate it. A second model in reviewer role breaks that symmetry.
Split roles: implementer vs reviewer
Ask one model to implement or explain code. Ask a second — ideally with a different provider — to review for correctness, edge cases, and security. Different training stacks catch different failure modes.
Keep the review prompt explicit: threat model, performance budget, API contracts. Vague "review this" produces vague praise.
Use Battle Mode for architectural forks
When the review is really a design choice (monolith vs services, sync vs async), run Battle Mode so two models argue for opposing architectures. Merge the decision record into your ADR.
This is cheaper than a human architecture review meeting for early forks — and faster than shipping the wrong structure.
Know the limits
AI review does not replace tests, static analysis, or human review on critical paths. It compresses the first pass and surfaces questions earlier.
PayCall.ai Code mode in flexible chat is the lightweight entry; escalate to a multi-agent meeting when the change touches auth, billing, or data migration.