Hoang Nguyen @codeaholicguy
engineering @ ShopBack codeaholicguy.com Read my blog 👉 Joined August 2013-
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Please don't confuse "I can code" with "I can prompt AI to write code." That is like saying you can cook because you know how to order food.
it works across Codex, Claude Code, Gemini CLI, OpenCode and GitHub Copilot
I used to copy messages between Codex and Claude like a human API. So I added a new agent skill for cross-agent session communication. Now Codex can talk to Claude, and Claude can talk back.
@orcdev That’s why you should try AI DevKit out x.com/codeaholicguy/…
I used to copy messages between Codex and Claude like a human API. So I added a new agent skill for cross-agent session communication. Now Codex can talk to Claude, and Claude can talk back.
the #100 PR on AI DevKit, are you ready for letting your Codex talk to Copilot?
I used to copy messages between Codex and Claude like a human API. So I added a new agent skill for cross-agent session communication. Now Codex can talk to Claude, and Claude can talk back.
Thanks for the clarification @GergelyOrosz. That’s a really interesting insight. In my experience, Manager roles are usually equivalent to Staff Engineer in terms of org level and compensation, you typically need to be a strong Senior Engineer first before switching to management (or stay on the IC track and go for Staff). At Uber, it looks like the switch happened quite early.
Great leaders set boundaries to protect focus.
My goal when buidling AI DevKit also relate to this concept. Building the loop is designing the system that prompts the agents to do things instead of yourself. Your focus is on enhancing that system to ensure the output match your expectation and incline with your direction. The loop will require: - Development work can be paralleled, so that agent won’t step on each other feet, this is the concept behind AI DevKit dev-lifecycle skill - The work needs to be ready to handoff to another agent, dev-lifecycle artifact is solving this - Agent need to be able to observe and communicate with other agents, no matter what type (Claude, Codex, OpenCode, etc), to ask for info, delegate, etc, this is the motivation behind the AI DevKit agent manager - You will need a way to monitor what they (agents) are working on, this is the motivation behind the agent console - Agents need to share the same set of memory and easy to retrieve but not bloat the context, this is the motivation behind AI DevKit memory Of course this is not perfect and still very early state but I align with the ideas in overall, looking forward
Here’s your monthly reminder that you shouldn’t be prompting coding agents anymore. You should be designing loops that prompt your agents.
Growth accelerates when people feel safe to fail.
AI is fast. Wisdom is slow. Balance both.
first build in public company has $10B valuation?
We've raised $500M at a $10B valuation supabase.com/blog/supabase-…
@BHolmesDev I use them this way x.com/codeaholicguy/…
I'm running Claude Code, Codex, and Gemini CLI in parallel. The worst part isn't the token cost. It's the tab switching. AI DevKit's Agent Console fixes this. One view, all your agents, send messages without leaving, quick hotkey to focus when you need detail. Works in iTerm2,
Massive output uptick due to agentic AI. Complete flat adoption.
npx ai-devkit@latest skill add codeaholicguy/ai-devkit agent-communication --global Check out the skill: github.com/codeaholicguy/…
lol, it's true
Before AI, I had 5 unfinished projects. After AI, I have 128 unfinished projects.
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