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→ View original post on X — @saboo_shubham_

AI Agents Workflow: Codex, Claude Code, and Hermes Orchestration

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@saboo_shubham_

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12 May 2026 20h01

Codex /goal builds it.

Claude Code /goal review and refines it.

Hermes /goal manages the orchestration and handoff.

All tracked on a single Kanban Board and agents keep running in the loop. pic.twitter.com/WAIr8zCP4o
— Shubham Saboo (@Saboo_Shubham_) 12 mai 2026

Codex /goal builds it. Claude Code /goal review and refines it. Hermes /goal manages the orchestration and handoff. All tracked on a single Kanban Board and agents keep running in the loop.

→ View original post on X — @testingcatalog

Google integrates MCP-like AppFunctions into Android for AI agents

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@testingcatalog

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12 May 2026 19h43

Google introduced AppFunctions, which work like MCPs for Android apps!

Best practices for managing AI agents in software development

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12 May 2026 19h41

7. If you wouldn't let a junior dev merge it, don't let Claude merge it. This was the line that got the most agreement. Treat AI like a fast, tireless junior developer. Talented but unsupervised? Dangerous. Talented with code review, clear scope, and ownership? A multiplier.

Sandboxing Workflows for AI-Generated Code Tasks

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12 May 2026 19h41

5. Sandbox everything. The top commenters use worktrees, separate folders, or isolated environments for every AI-generated task. Nothing touches the main codebase until it's been reviewed. One commenter's workflow: spin up a parallel task in a sandboxed worktree, let Claude

Using Planning Mode to Improve AI Code Generation Quality

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12 May 2026 19h41

4. Use planning mode before execution mode. Multiple commenters flagged this. When you let Claude plan the approach before writing the code, the output quality jumps. When you skip straight to "write the code," you're asking a nondeterministic system to make architectural

Treating AI-Generated Code with Human Standards in the Enterprise

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12 May 2026 19h40

1. You generate it, you own it. This was the engineer's core rule at his Fortune 500 company. Every line of AI-generated code is treated the same as human-written code. It has bugs? Your bug. It breaks prod? Your incident. The moment you stop treating AI output as "the AI's

→ View original post on X — @askalphaxiv

Open Source Reinforcement Learning Training Scripts Released

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@askalphaxiv

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12 May 2026 18h25

You can also check out our training scripts here: https://
github.com/NovaSky-AI/Sky
RL/tree/main/examples/train/rlm
… Thanks to @sumanthrh and @charlie_ruan from the SkyRL team for their responsiveness in resolving issues and for providing an amazing RL library for the community! We'd also like to thank @a1zhang for his

→ View original post on X — @datachaz

AI Coder Builds OS with Claude Code: Masterclass, Guide, and Free Repo

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@datachaz

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12 May 2026 16h43

This guy literally built an ENTIRE operating system with Claude Code 🤯

now he is showing you exactly how.

Nate just dropped the ultimate AI coding starter pack:

→ 2+ hour masterclass
→ Complete framework guide
→ Free GitHub repo to start building

bookmark this 👇 https://t.co/DwToTNzjwH pic.twitter.com/Atk3Nd4cro
— Charly Wargnier (@DataChaz) 12 mai 2026

This guy literally built an ENTIRE operating system with Claude Code now he is showing you exactly how. Nate just dropped the ultimate AI coding starter pack: → 2+ hour masterclass
→ Complete framework guide
→ Free GitHub repo to start building bookmark this