Opus + REA can rebuild any software feature without having a single line of original code
here is how to do it:
1. connect it to claude: run npx rea-agents setup
2. extract the rules: let rea inspect the feature and save a "spec" file
3. rebuild clean: start a fresh claude session with only that spec to rewrite it
4.test it: use /goal to test 3 intentionally broken versions. all 3 must fail to prove your new code is solid.
try running it, then read the full guide below:
REA creator just released prompts that turn any AI agent into reverse-engineering lab
absurdly f*cking dangerous...
One paste it and your agents will:
• reverse engineer any paid app
• open Android, IPhone apps, Windows .exe and firmware
• take apart any app without its source code
• and that's just the start...
Send this to Claude Code, Codex or Cursor and thank me later.
Before you run it, read the article below:
REA creator just released prompts that turn any AI agent into reverse-engineering lab
absurdly f*cking dangerous...
One paste it and your agents will:
• reverse engineer any paid app
• open Android, IPhone apps, Windows .exe and firmware
• take apart any app without its source code
• and that's just the start...
Send this to Claude Code, Codex or Cursor and thank me later.
Before you run it, read the article below:
REA + Opus 5.5 is really f*cking dangerous...
Send this single prompt to Claude and reverse-engineer any paid closed-source app
Then read the article below on how to become a REA engineer from scratch ↓
holy sh*t. I turned the Opus 5.5 cost mess into one prompt that finds where the money leaks
this will save you a lot of tokens…
drop in a run and it catches bloated context, late escalations and bad handoffs
checkpoint earlier → hand off less → lower $/pass
paste it into Claude Code and clean up the bill ↓
THIS CLAUDE.md FILE TURNS CLAUDE INTO A SENIOR ENGINEER
An Engineer from Claude Code shared the tricks and workflows that his team uses daily.
Most can be integrated directly into a CLAUDE.md for any project:
> Workflow Orchestration
> Sub-agent Strategy
> Self-Improvement Loop
> Verification Before Finalizing
> Automatic Error Correction
> Fundamental Principles
What's interesting is that it works as a cumulative system.
Every time you correct Claude, that correction can be recorded and turned into a rule for future tasks.
Over time, Claude learns from your feedback and can reduce the same errors again and again.
If you use AI for programming every day, having a well-structured CLAUDE.md can save you a ton of time.
Save this👇
Official Anthropic tip for Claude Code: stop burning Opus 5.5 context on tasks Sonnet 5.5 can swarm, while Fable 5.1 sits idle
spin up an autonomous team with /teams claude --teammates ux,backend,adversary
paste the setup and this prompt into Claude Code below:
"Configure my Claude Code workspace for autonomous agent teams:
1. Audit ~/.claude/teams and .claude/teams for teammate profiles fitting ux, backend, and adversary > Generate definitions only for missing roles > Pin model: sonnet, effort: medium for workers, and model: fable for adversary > Assign each worker an isolated git worktree branch to eliminate file conflicts
2. Enable agent teams in ~/.claude/settings.json: > Set CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 > Lock main session effortLevel to high
3. Initialize tasks.json in repo root with atomic file locking, allowing teammates to claim subtasks and resolve contracts directly over inter-agent messaging without coordinator intervention
4. Add a team rule to ~/.claude/CLAUDE.md: teammates must request an adversary security review before opening a pull request for the lead session Show every configuration diff first. Do not apply edits until confirmed"
Copy it and check out the full article below:
I'm sharing with you one of the best papers I've read on Harness Engineering.
It explains very well:
1) what a harness is
2) how current coding agents are built
3) what patterns repeat across Claude Code, Codex, Grok Bot, etc.
4) where the category is evolving toward
5) what they recommend if you want to build one
It all starts from a simple definition:
Agent = Model + Harness
Read the paper, then check out the article below:
THIS CLAUDE.md FILE TURNS CLAUDE INTO A SENIOR ENGINEER
Boris Cherny, creator of Claude Code, shared the tricks and workflows that his team uses daily.
Most can be integrated directly into a CLAUDE.md for any project:
> Workflow Orchestration
> Sub-agent Strategy > Self-Improvement Loop
> Verification Before Finalizing
> Automatic Error Correction
> Fundamental Principles
What's interesting is that it works as a cumulative system.
Every time you correct Claude, that correction can be recorded and turned into a rule for future tasks.
Over time, Claude learns from your feedback and can reduce the same errors again and again.
If you use AI for programming every day, having a well-structured CLAUDE.md can save you a ton of time.
Save this, then check out the article below👇






















