Gotta say, 100/200 bucks monthly feels prohibitively expensive for even trying out something, particularly something as unproven as code-writing AI, even more particularly when other personal experiences with AI have been at the very least underwhelming, and extra particularly when the whole endeavor is so wrapped up in ethical concerns.
Try Aider with API usage. Learn how to control context size (/clear, /add, /drop). Limit context to 25K. Use whatever model you want (Sonnet 4 or Gemini 2.5 Pro). For simple scripts, it often costs me under $1 to build. I'm working on a bigger tool these days, and I've done lots of prompts, a decent amount of code, over 100 tests, and my running total is right now under $6. I'd suggest learn the basics of using AI to…
The monkey brain part of me that really doesn't trust an LLM and trusts my decades of hard-won programming experience also prefers using Aider because the usage flow generally goes:
1. Iterate with Aider on a plan
2. Tell Aider to write code
3. Review the code
4. Continue hacking myself until I want to delegate something to an LLM again.
5. Head back to Step 1.
Codex automates this flow significantly but it's also a lot more expensive. Just the little bits of guiding I offer an LLM through Aider can make the whole process a lot cheaper.
It's unclear to me whether the full agentic Claude Code/Codex style approach will win or whether Aider's more carefully guided approach will win in the marketplace of ideas, but as a pretty experienced engineer Aider seems to be the sweet spot between cost, impact, and authorial input.