Dan Gora

[Boris Cherny @bcherny]

The team and I use Auto mode exclusively, and have been for many months. I couldn't imagine going back to permission prompts! Really excited to get this out to everyone.

[Claude @claudeai]

The Claude Security plugin for Claude Code is now available in beta.

Scan your changes for vulnerabilities before you commit, or run a full scan across your codebase, all from your terminal on the Claude inference you already run.

[Ejaaz @cryptopunk7213]

well thats fucking it - anthropic has officially replaced software engineers. claude is now a 24 hr autonomous coding agent.

claude can now operate your entire computer and CLAUDE CODE = end-to-end software engineering:

- claude writes the code for you
- then literally opens the app it coded
- clicks through the entire app and find bugs
- then fixes the bugs and improves the app

in hours.

previously claude generated code, you run it and give claude feedback.

thats completely gone now.

all in a continuous loop without leaving your terminal 😂

we're barely through monday. well done lol

[Nainsi Dwivedi @NainsiDwiv50980]

🚨 Breaking: The guy who created Claude Code @bcherny just revealed how his team actually builds software with AI.

And it’s not prompting.

It’s a 5-layer operating system for AI-driven development.

Most developers only use: • one Claude session
• long prompts
• manual reviews
• sequential work

Boris’s team does the opposite.

They run Claude like a parallel engineering org.

Here’s what he shared:

1. Parallel sessions (not one AI)
They run 5–10 Claude instances at once.
Each handles a different task.

One writes code
One reviews
One tests
One refactors

Everything happens in parallel.

2. Persistent memory via CLAUDE.md
They keep a shared CLAUDE.md in the repo.

It stores: • past mistakes
• architecture rules
• coding conventions
• verification steps

Claude reads it every session.
So the AI improves over time.

3. Custom AI subagents
Instead of one Claude, they define roles:

• backend-reviewer
• migration-guard
• code-simplifier
• verify-app

Each agent has a specific job.
Like a real team.

4. Worktree isolation (true parallelism)
Each agent gets: • its own git worktree
• its own task
• its own tests
• its own PR

No context collisions.
No waiting.
Just parallel execution.

5. Orchestration commands
They use compound commands:

/simplify
→ runs multiple reviewers in parallel

/batch
→ launches dozens of agents
→ each opens a PR

This enables: • large migrations
• repo-wide refactors
• automated reviews
• parallel implementation

The insight:

This isn’t one AI assistant.
It’s an AI engineering system.

Parallelism

Memory

Custom roles

Isolation

Orchestration

Stack them together and Claude stops behaving like a chatbot —
and starts behaving like a team of engineers.

This is what most people missed.

They copied prompts.
Boris built infrastructure.

Bookmark this. This changes how you use Claude Code.

[Dan Gora @dansecops]

@techxutkarsh AI

[Dan Gora @dansecops]

@techxutkarsh Prompt

[Utkarsh Sharma @techxutkarsh]

A senior Google engineer just dropped a 421-page doc called Agentic Design Patterns.

Every chapter is code-backed and covers the frontier of AI systems:

→ Prompt chaining, routing, memory
→ MCP & multi-agent coordination
→ Guardrails, reasoning, planning

This isn’t a blog post. It’s a curriculum. And it’s free.

[Nainsi Dwivedi @NainsiDwiv50980]

99% of people using Claude are doing it wrong.

They’re prompting.

Not building systems.

Not automating GTM.

Not printing leverage.

Meanwhile, a small group is using Claude to run:

• Full GTM workflows on autopilot
• Sub-agents working 24/7
• MCP-powered systems that replace entire teams

That’s the gap.

So I spent 100+ hours building The Claude GTM Engineer’s Bible —
everything you actually need:

• 1300+ battle-tested prompts
• Claude Code + WAT framework setup
• MCP, agents, automations (step-by-step)
• Real GTM systems you can deploy immediately

Not theory. Execution.

I’m giving it to only 500 people.

Want it?

Follow me Must (so I can dm)
Rt + Like
Comment “CLAUDE”

I’ll DM it.

Miss this → stay stuck prompting.

[Hasan Toor @hasantoxr]

Best GitHub repos for Claude code that will 10x your next project:

1. Superpowers
https://t.co/U5Y4BK9Lap

2. Awesome Claude Code
https://t.co/qcgoxU3Up2

3. GSD (Get Shit Done)
https://t.co/WfAhllWnTR

4. Claude Mem
https://t.co/XLQpwdnIWN

5. UI UX Pro Max
https://t.co/aQtGjMzKus

6. n8n-MCP
https://t.co/7le1aluZXH

7. Obsidian Skills
https://t.co/MUaoyUnasw

8. LightRAG
https://t.co/ye8z4UqaMc

9. Everything Claude Code
https://t.co/OAU9JE46Uz

[@levelsio @levelsio]

Thank god MCP is dead

Just as useless of an idea as LLMs.txt was

It's all dumb abstractions that AI doesn't need because AI's are as smart as humans so they can just use what was already there which is APIs

[Boris Cherny @bcherny]

Released today: /loop

/loop is a powerful new way to schedule recurring tasks, for up to 3 days at a time

eg. “/loop babysit all my PRs. Auto-fix build issues and when comments come in, use a worktree agent to fix them”

eg. “/loop every morning use the Slack MCP to give me a summary of top posts I was tagged in”

Let us know what you think!