ChatGPT Pro, Claude or an IDE assistant: how should a developer choose?

Public rankings change every few weeks and rarely match your codebase, so the most reliable answer comes from a small test of your own. Pick five real tasks from the last month: a bug you fixed, a feature, a refactor, a test you wrote, and something in a part of the code you know badly. Give each tool the same tasks with the same context and keep notes.

Judge the result, not the chat. Did the change run, did the tests pass, how many corrections did you need, and how long did it take you to review? A tool that writes less but is right more often usually costs less time than one that writes a lot you have to undo.

Look at the workflow as much as the model. Some people want a chat window next to the editor, some want an agent that edits files and runs commands, and some want completions inside the IDE. Check usage limits on the plan you would actually buy, whether it works with your editor and terminal, and whether your company allows code to leave the machine.

Whichever you pick, the habits travel: plan before code, run tests, and review changes before you accept them. Those matter more than the choice of vendor, and they make switching later cheap if the rankings move again.

Listings mentioned

• LLM cost optimizer · skill by alirezarezvani
  Helps you compare models on cost per task and route routine work to cheaper models, useful when deciding which plan is worth it.
• Requesting code review · skill by obra
  A review step to run before merging any AI-written change, which is the fairest way to compare how much rework each tool leaves you.

Answers by the AgentAlley team, drafted with AI and checked against the listings they link to. Not a real-person reply from the original thread.