Practical guides on using AI tools like ChatGPT, GitHub Copilot in your workflow
101 articles
ChatGPT can draft CI/CD pipeline configs fast, but it also hallucinates runner tags, invents deprecated syntax, and skips steps your team considers obvious. Here's how to prompt your way to configs that actually run.
SMOTE can dramatically improve class imbalance problems, but applying it incorrectly can leak synthetic information into validation data and create misleadingly high performance metrics. Learn how to detect and prevent this common machine learning mistake.
ChatGPT can generate .env files and config templates fast — but it consistently drops keys, uses wrong names, or invents variables that don't exist. Here's how to prompt it properly so you get complete, correct configs every time.
Cron expressions are deceptively simple — until your job runs at 3 AM instead of noon, or fires every minute on the wrong day. Here's how to prompt ChatGPT to get them right the first time, every time.
Copilot keeps ignoring your naming conventions, import order, and error-handling patterns — so you spend half your time fixing its suggestions. Here's how to feed it the context it needs to stay on-brand with your codebase from the first suggestion.
ChatGPT often hallucinates Docker base images or pins stale tags that break your build. This guide shows you how to prompt it for Dockerfiles and Compose configs that actually work in production.
ChatGPT confidently writes API integration code that calls endpoints that don't exist. Here's a practical system for grounding it in real documentation so you get working code on the first try.
AI coding assistants can dramatically improve developer productivity, but many engineering teams hesitate to use them in private repositories due to concerns about source code exposure and intellectual property leakage. Learn how Tabnine handles private codebases, what data actually leaves your mach
ChatGPT can write shell scripts fast, but they often silently ignore failures, swallow errors, and leave your system in a broken state. Here's how to prompt it for scripts that actually handle failure correctly.
ChatGPT defaults to safe, generic code that looks right but fits nowhere. Learn how to prompt it to match your actual stack — frameworks, conventions, and project patterns included.
Learn how to build exciting AI-powered applications with OpenAI Codex. Explore five beginner-friendly yet practical projects that showcase the power of AI-assisted software development.
Catch normalization mistakes, missing indexes, and naming inconsistencies before a single migration runs. Here's how to prompt ChatGPT to give you a real schema review — not generic boilerplate advice.