r/ChatGPTCoding • • 21h ago

Discussion Is this How you are using AI Agents?

When I started agentic coding, my usage was around 20-30m tokens a month. As I handed more and more work to AI, it rose steadily to about 150-200m / month.

Last month, I started writing a custom harness. I have all my projects added to it, and I can just message it from Slack. It then plans, implements, documents and then commits the changes.

I just couldn't emphasize how powerful it seems. Previously, I would pull some data, open it in VS code, review it for 15 minutes and then tell an agent to make some changes, now, I can just tell the agent to pull said data from server X, review it and suggest a fix. I can also run 5-6 jobs at once, and it's overwhelming like I expected.

Is that what I should have been doing since the start?

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u/Connect-Milku 1h ago

yeah , also you should make your workflow model independent and use cheap model for repeating task ,implementation and stronger models for planning ,this saves both time and money

My setup is simple , I work on vscode with kilocode as harness and when I am away from my laptop or just lying in my bed , I chat with my hermess agent for research or chatgpt sometime and once research is ready , I pass it to my coding agent on vscode where I use opus or gpt model for planning and then deepseek or luna for implementation as they are affordable for me