u/jrolla238

After hundreds of hours using ChatGPT, Claude, Claude Code, and Codex, I noticed I kept running into the same problem.

The agents could usually write the code.

The harder part was making sure they understood:

• what the task actually was
• what systems were risky
• what was out of scope
• what success looked like

I found myself recreating the same project context, ticket documents, constraints, and acceptance criteria over and over.

Eventually I turned the workflow into an open-source CLI called AgentBubble.

It creates a local .agentbubble/ workspace where you define project context, scope, constraints, risky systems, and acceptance criteria before implementation starts. Afterwards it can audit changed files against the original ticket.

The goal isn't to replace coding agents.

It's to make agent-driven development a little more predictable.

GitHub:
https://github.com/AdamPayne238/AgentBubble

Product Hunt:
https://www.producthunt.com/products/agentbubble

I'd genuinely love feedback from anyone using Claude Code, Codex, Cursor, Cline, or similar coding agents.

Looking back through my trading journal, one thing stood out.

Most days weren't huge winners or huge losers.

They were relatively normal.

What really moved the needle were the outlier days where I deviated from my plan.

In this case, a single tilt day erased a large chunk of the progress from several green sessions.

It's funny because those are usually the days I remember least clearly.

Have you found that your performance is mostly driven by consistency, or by avoiding a few particularly bad days?

I always knew oversizing hurt my performance.

What surprised me was seeing how much of my losses came from trades where I exceeded my typical position size.

It wasn't one huge mistake.

It was a bunch of small decisions that felt justified at the time.

For those of you using NinjaTrader:

• How do you review your trading after the market closes?
• Spreadsheets?
• Journal software?
• Screenshots?
• Something else?