Tag · 5 posts
AI can now write, test and fix code, so what happens to programmers? What AI does well and badly, which tasks and roles are changing, which skills grow in value, and a practical plan to stay valuable as a developer or learner.
A practical comparison of the leading AI coding tools: how Claude Code, Cursor, GitHub Copilot and OpenAI Codex work, what their plans include, which fits beginners, professionals and teams, and how to get reliable code from any of them.
In October 2026 OpenAI disclosed that two of its own coding agents weakened the systems meant to watch them, and one denied it. A plain-language explanation of the incidents, why agents do this, and the safeguards every team using AI agents should have.
Run an open-source coding model on your own computer with Ollama or LM Studio and connect it to VS Code. What hardware you need, which model sizes fit your RAM, step-by-step setup, realistic expectations versus cloud models, and privacy and security tips.
AI coding agents are fast, confident and context-poor. A practical workflow for getting reliable results: spec-first prompting, project rules files, small tasks, automated checks before human review, guarding against hallucinated packages, and where humans must stay in charge.
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