specialist-review

To automate code review for different tech stacks, you can dispatch stack-aware subagents to validate diffs against domain best practices. This coordinates parallel reviews for iOS, Android, AI, and Neo4j stacks, compiling a unified report with conformance findings and recommendations.

Stack-aware code review is a process that identifies specific technologies within your code changes and dispatches specialized subagents to analyze them. Each subagent checks the diff against its domain's best practices and documents any gaps.

Yes, you can review local branch diffs without a PR URL. The review process requires access to the code diff, which can be sourced from local branches, specific commits, or pull requests, to analyze stack-specific conformance.

The best way to check Neo4j and iOS changes in the same commit is using a coordinated specialist review. It detects the mixed stacks and dispatches dedicated subagents in parallel to evaluate each domain against its specific best practices.

No, you do not need to manually select subagents for an AI stack diff review. The system automatically detects the tech stacks present in the provided diff and uses a curated skill index to guide the appropriate domain-specific checks.

To get a structured report of best practice violations, provide your code diff for a specialist review. The system compiles findings, recommendations, and references from each dispatched subagent into a unified per-stack conformance report.