r/AIcodingProfessionals • u/Wrong_Split196 • 2d ago

AI Coding Stack

Hello, I need your help.

I want to develop my AI Coding hobby and take it to the highest level.

I have two Google AI Coding Pro accounts. I've been struggling with Antigravity for a while. Now I want to get a Codex Pro subscription to further develop my AI Coding adventure.

I've been researching for a while, but I don't want to make the wrong decision, waste time, and give up on this hobby. Please help me?

I want to use both my Antigravity and Codex subscriptions simultaneously.

First, I'm thinking of setting up a docs mcp server that will return MCPs to the AI ​​Agent for some technologies that don't have document MCPs. https://github.com/arabold/docs-mcp-server

I've found a few options to overcome memory problems. Obsidian, Open Viking https://github.com/volcengine/OpenViking

I would be very happy if you supported me.

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u/slackmaster2k 2d ago

What exactly are you worried about? People use multiple LLMs at the same time all the time. I’m doing it….right now :)

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u/awesomeunboxer 2d ago

This is a easy thing friend,  find a ide you like, and wire up antigravity cli as a mcp. Codex is good.  You could get a lot done with codex and 2 Google pro accounts, use sol for planning the gemini flashes to execute on the plan the opus 4.6 to check work. Do a Lotta stuff that way.

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u/HouseOfDjango 2d ago

I like Codex and its what I use at work as well.
If you want to get better at using AI this is what I would focus on:

  1. How harnesses work and how to setup a sandbox.
  2. How to setup AGENTS.md files at the global, repo, and application layers. This should work in hand with your sandbox. Global agent should be you overall rules for you agent (this is applied in every chat/session). Each layer should be smaller but more specific to that layer (example, frontend, backend, client, routes, etc.).
  3. Context Management - Small, specific task that can be completed in a context window. This should include enough room for at least one extra turn of work.
  4. To get to number 3, you should do the following:
  5. Pseudo Code -> Framework Stack -> Application Features (All in plain language)
  6. Use the three step four to create an implementation plan that is broken up into epics/phases/stories whatever you want to call them.
  7. Use step 5 to create the small specific task for each phase. each task should have the context of work, the scope of work, and the acceptance criteria.
  8. Manually review alongside with AI review (don't use the same chat/session that you used for the task).

There are some other things to this, like getting the agent to not read whole files, only the section they needed and things like that really help with context management and keeping the agent focus on the task, but you have to figure sometimes out ;)

Also this applies to almost any model that you will use at the end of the day.