Use case
Software engineers using coding agents such as Claude Code need to handle the model-generated diff before merging a change: judge which modules the edit touches, whether anything was missed, and leave reviewable proof of completion.
Manual code review, verbal conventions, or team-written prompts and checklists, with rules scattered across individual habits and no stable reproduction.
Agents write code fast, but the blast radius often exceeds expectations and reviewers only see the lines that were written, so knock-on effects get missed; unresolved, this means rework after merge or firefighting in production.
xOcto's call
Demand is evidenced
The trend is that coding agents now produce changes faster than humans can review them, so the bottleneck moves from writing code to who signs off. The opening is not another coding assistant but a rules layer for the review and release step inside teams already using agents: start with regulated industries or outsourced delivery teams, turn blast-radius and proof-of-done into auditable artifacts, and charge per team or per project.
Reason to use it
Why users would choose it
Compared with manual review that only reads the diff, this rule set fixes 'ask ten blast-radius questions, have a non-author review, show proof of done' into a pre-commit routine, removing the step where a reviewer rebuilds context; this is inference, and regulated-industry or outsourced delivery teams needing an audit trail are the likeliest adopters.
Where the easy answer breaks down
The tension worth following
An English validation note will follow from the public evidence.
If this is your job
Worth trying. Compared with manual review that only reads the diff, this rule set fixes 'ask ten blast-radius questions, have a non-author review, show proof of done' into a pre-commit routine, removing the step where a reviewer rebuilds context; this is inference, and regulated-industry or outsourced delivery teams needing an audit trail are the likeliest adopters.
Entry and what to borrow
The trend is that coding agents now produce changes faster than humans can review them, so the bottleneck moves from writing code to who signs off. The opening is not another coding assistant but a rules layer for the review and release step inside teams already using agents: start with regulated industries or outsourced delivery teams, turn blast-radius and proof-of-done into auditable artifacts, and charge per team or per project.