AI coding agents can implement a plan faithfully while still missing what the plan left unsaid. The useful twist here is to separate the context-rich drafting session from reviewers who see only the document and its referenced source material: they can challenge assumptions the original conversation made invisible.
What Sets It Apart
- Drafting and review use deliberately different context, making blind spots easier to surface instead of simply asking the same assistant to recheck its own work.
- Reviews examine clarity, completeness, fit with the code, and implementation risks, so feedback can improve a specification before code is written.
- The workflow leaves trade-offs and approval with the developer; it supports design judgment rather than treating an agent’s review as proof of correctness.
Who It’s For
Great fit if your team uses coding agents for substantial changes and wants a written, reviewable design before implementation. Look elsewhere if you need an autonomous coding system, a replacement for tests or human review, or an environment whose agents cannot create fresh subagent contexts—the review workflow depends on that capability.
