speckit-review

Automated pull request reviews coordinate specialized agents to thoroughly check code, tests, comments, errors, and types across changed files. This multi-agent workflow applies configuration-driven scope to produce a consolidated, actionable summary for developers.

A multi-agent code review workflow orchestrates specialized agents that each focus on a distinct quality aspect like simplification or error handling. It detects changed files, selects applicable reviews, and produces a structured action plan for reviewers.

Yes, code quality checks support config-driven scope with optional user overrides to determine which specialized agents run for a given pull request. This ensures the review scope is controlled by both configuration and explicit user input.

Yes, the multi-agent code review workflow operates without external dependencies or components. It uses an advanced internal design to load configuration, detect changed files, and orchestrate agents entirely within the existing environment.

The best way to consolidate multiple code review agents is orchestrating them to produce a single, structured, actionable summary. This workflow generates an explicit action plan, reducing feedback fragmentation for reviewers and developers.

Specialized agents provide thorough quality checks across distinct areas like types, errors, and comments, unlike a single automated check. This multi-agent approach ensures comprehensive coverage and produces a structured summary for better code consistency.