Database

Methodical debugging — reproduce, isolate, root-cause, and fix bugs using systematic

Triggers when users need help with distributed systems design or debugging. Activate for questions

Debugging with git bisect and advanced git log techniques to pinpoint regressions

Hardhat development environment for compiling, testing, deploying, and debugging Solidity smart contracts

HTTPie CLI for human-friendly API testing, scripting, and debugging from the terminal

Testing and debugging MCP servers effectively. Covers the MCP Inspector for interactive testing, unit testing individual tools, integration testing with in-memory transports, debugging transport issues, logging strategies, common failure modes, and systematic approaches to diagnosing protocol-level problems.

Teaches how to debug code generated by AI tools, covering the unique failure modes of AI-generated code including hallucinated APIs, version mismatches, circular logic, and phantom dependencies. Explains how to read error messages back to the AI effectively, provide minimal reproductions, diagnose when the AI is giving bad fixes, and use systematic debugging approaches on codebases you did not write by hand. Use when AI-generated code is not working and you need to find and fix the issue.

Diagnose and fix flaky end-to-end tests. Covers the categories of

Trigger when the user is writing, reviewing, or debugging Solidity smart contracts

Triggered when designing, implementing, or debugging applications that interact with the Solana blockchain via its RPC interface.

Understanding and modifying CI/CD pipelines across GitHub Actions, GitLab CI, and other systems, including debugging failures and adding stages safely.

Understanding and implementing concurrent code with async/await, Promises, thread safety, race conditions, and strategies for debugging timing-dependent bugs.

Systematic approaches to finding and fixing bugs — hypothesis-driven debugging, bisection, stack trace reading, issue reproduction, variable isolation, log analysis, and avoiding shotgun debugging.

Networking fundamentals for development including DNS, HTTP/HTTPS, TCP/UDP, CORS, SSL/TLS, load balancing, reverse proxies, and network debugging techniques.

Working with Docker for development and deployment, including Dockerfile best practices, compose patterns, image optimization, and container debugging.