#Programming

A Git checkpointing workflow for AI coding with Copilot and Codex: when to commit, branch, test and revert, and why you push to a remote for backup.

Build a FastAPI backend step by step with Copilot: REST endpoints with SQLite, authentication, a React frontend and a persistent database.

Plan and scaffold a FastAPI and React or Next.js app with GitHub Copilot: monorepo layout, instructions file, API wiring and a real workflow.

What Docker images and containers are, why they matter for agentic coding, how to serve FastAPI and React from one container and ship an MVP.

A review workflow for AI-written code: what to check, how to verify each agent step with tests, LLM test-coverage traps and accountability.

Practical ways to debug AI-written code: break repeat-mistake loops, simplify prompts, verify an agent's 'fixed' claims and troubleshoot errors step by step.

Use free OpenRouter models, set up an API key and pick a model, build a Next.js chat app or digital twin, and turn a vibe-coded site into a real product.

Five principles for productive vibe coding, which tasks benefit from AI agents, the real speed-up versus the hype, and junior vs senior use.

Which LLMs work best in Cursor, Copilot and Codex, how to read benchmarks like Artificial Analysis, fast vs smart models and when to switch.

Compare Cursor, GitHub Copilot, OpenAI Codex, Claude Code and Antigravity: IDEs vs CLIs, cost, free tiers and how to pick the right tool.