build-from-issue

Automating implementation planning from a GitHub issue involves generating a concrete plan, iterating on feedback, and enforcing a human authorization gate before code changes. This workflow inspects issue labels and conversation history to drive deterministic actions.

Yes, you can require manual approval before an automated agent writes code by using a state:agent-ready safety gate. This ensures a human explicitly authorizes the transition from planning to code execution and PR creation.

Managing iterative feedback on an issue-driven implementation plan involves editing the plan based on comments and maintaining a traceable revision history. The workflow can run multiple times against the same issue until the plan is approved.

Yes, this issue management workflow handles tests and documentation updates automatically. It coordinates these updates alongside code changes and PR creation as part of the deterministic actions driven by issue labels.

Issue-driven development uses labels and conversation history to trigger actions by inspecting them to drive deterministic workflows. This stateful approach ensures the implementation plan aligns with the issue's context and feedback.

You need a state:agent-ready gate for issue-driven software development to enforce safety gates and auditing. It prevents automated code execution until a human explicitly authorizes the finalized implementation plan.