QUESTIONS FRÉQUENTES
FAQ — outils IA pour coding
AI coding tools use large language models to write, complete, explain, and fix code. They range from inline autocomplete built into your editor (GitHub Copilot, Tabnine) to autonomous agents that plan a task, edit files across a whole repository, run tests, and commit the result with minimal supervision (Cursor, Claude Code, Aider, OpenAI Codex).
There isn't one universal winner — the right tool depends on how you work. Cursor and Claude Code lead for repository-wide, multi-file agentic work; GitHub Copilot remains the most widely adopted inline assistant across IDEs; Aider and Cline are the top open-source, bring-your-own-key options; and Amazon Q Developer or Gemini Code Assist make sense if you're already committed to AWS or Google Cloud. Most professional developers end up using more than one for different parts of the workflow.
Many have a genuinely usable free tier — GitHub Copilot, Cursor, Tabnine, and Amazon Q Developer all offer free plans with real, if capped, usage. Fully open-source, bring-your-own-key tools like Aider and Cline cost nothing beyond whatever you pay the underlying model provider directly. Paid plans typically start around $10-20/month and unlock higher usage limits, larger context windows, and priority access to the newest models.
Not currently, and not for the foreseeable future beyond routine, well-specified tasks. They're genuinely good at boilerplate, test generation, bug triage, and drafting a first pass, but still need a developer to define the actual problem, review the output, and catch subtle logic errors the model doesn't recognize as wrong. Think of them as accelerating a developer's output, not substituting for one.
It depends on the tool and plan. Enterprise tiers from GitHub Copilot, Amazon Q Developer, and Gemini Code Assist typically guarantee your code isn't used to train the underlying model and add admin controls over data retention. Fully local or self-hosted options — open-weight models run through Aider or Cline via Ollama — keep code from ever leaving your machine. Check the specific data-handling policy for your plan, since free or individual tiers sometimes have looser guarantees than paid business tiers.
An AI code editor — inline Copilot suggestions, Tabnine — predicts the next few lines as you type, staying inside a single file. An AI coding agent — Claude Code, Cursor's agent mode, Aider, OpenAI Codex — plans a multi-step task, reads and edits several files across your repository, runs your test suite, and iterates until the task is done. It's closer to delegating a ticket to a junior engineer than getting autocomplete.
Yes, and most professional teams do. A common pattern is an editor-level assistant (Copilot, Tabnine) for everyday autocomplete, a repository-level agent (Cursor, Claude Code, Aider) for larger refactors or new features, and a code-review tool (Qodo, CodeRabbit) that runs automatically on every pull request. They don't conflict, since each operates at a different stage of the workflow.