Systematic root-cause debugging with ranked hypotheses, severity tags, and a verified fix

Safe, incremental refactor plan with before/after, SOLID rationale, and preserved API

Production PR review across correctness, security, performance, and style with a verdict

Self-serve endpoint docs with params, realistic examples, error codes, and code snippets

Thorough unit-test suite covering happy paths, edge cases, errors, and mocked dependencies

Developer-ready user stories with Given/When/Then criteria, edge cases, and estimates

Writes, explains, and optimizes a SQL query against your schema with safety checks

Builds a tested regex from plain rules, explains every token, and warns of pitfalls

Writes a clear conventional-commit message from your diff, flagging splits and breaks

Walks an AI through reproducing, isolating, and fixing a bug with a verified root cause.

Reviews a diff for correctness, security, and style with severity-tagged, actionable comments.

Proposes a safe, incremental refactoring plan that preserves behavior and improves design.

Explains unfamiliar code in plain language with a walkthrough, analogy, and gotchas.

Generates a thorough unit-test suite covering happy paths, edge cases, and failures.

Builds a tested regular expression from plain-language rules and explains every token.

Writes, explains, and optimizes a SQL query against a given schema with safety checks.

Decodes a cryptic error or stack trace into cause, fix, and prevention steps.

Walks an AI through diagnosing the true root cause behind a stack trace instead of patching symptoms.

Produces a structured PR review that separates blocking issues from nits using clear severity tiers.

Turns a messy function into an incremental, safety-checked refactor plan that keeps behavior identical.

Generates a prioritized unit test suite that targets boundaries, failures, and forgotten edge cases.

Drafts a balanced ADR comparing options with tradeoffs, consequences, and a justified recommendation.

Writes accurate docstrings and a usage example by inferring contract and edge behavior from the code.

Audits a slow code path for algorithmic and allocation hotspots before suggesting measured optimizations.

Reviews code for input-handling vulnerabilities like injection and unsafe deserialization with fixes.