Practical guides on using AI tools like ChatGPT, GitHub Copilot in your workflow
105 articles
Copilot-generated docstrings often miss parameter types, describe the wrong behavior, or drift from your codebase's conventions. Here's how to get accurate, consistent docstrings without reviewing every single one.
ChatGPT can draft SQL queries faster than you can type a JOIN. But it also hallucinates column names, ignores your indexes, and happily returns wrong results that look right. Here's how to use it without getting burned.
ChatGPT can write regex fast, but silent mismatches will haunt you in production. Learn the exact prompting techniques that get you tested, edge-case-aware patterns every time.
Legacy codebases fight back when you try to refactor them with Copilot Chat. Vague prompts produce vague suggestions. This guide shows you exactly how to structure your prompts so Copilot gives you safe, targeted refactors instead of confident nonsense.
ChatGPT code reviews often feel like reading a textbook: technically correct, utterly unhelpful. This guide shows you exactly how to structure your prompts so you get sharp, context-aware feedback on your actual code — not a generic checklist.
ChatGPT can write convincing code that passes your happy-path tests but silently fails on empty arrays, null inputs, or concurrent requests. Here's a practical framework for catching those invisible bugs before they reach production.
GitHub Copilot keeps suggesting code that ignores your project's patterns, naming conventions, or architecture? You're not alone. Here's a practical guide to giving Copilot the context it needs to suggest code that actually fits.
Claude Code runs directly in your terminal and understands your entire codebase — not just the file you have open. Here's how to wire it into your daily engineering tasks and actually get things done faster.
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