Arjun | Building Stuff with AI
130 posts

Arjun | Building Stuff with AI
@Arjun4Shukla
Redesigning Intelligence
Katılım Ocak 2025
104 Takip Edilen16 Takipçiler

@0xCodez loop engineering is great one should checkout the last videos of anthropic they also discuss regarding this
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A senior Anthropic engineer just dropped 11-page PDF on "Loop Engineering" for agentic systems.
The shift: you stop prompting the agent. You build the system that prompts it instead.
Schedule → Discover → Build → Verify → Repeat
Every loop runs one turn, five moves:
• Discovery: it finds its own work - failing CI, open issues, recent commits - instead of being handed a list.
• Handoff: each task gets an isolated git worktree so parallel agents don't collide.
• Verification: a second agent, told to assume the code is broken, reviews the first. The "thing that can say no."
• Persistence: results get written to disk, never left in a context window that gets flushed.
• Scheduling: an automation wakes it on a timer. That's what makes it a loop.
The key insight: an agent grading its own work always praises it.
This 11-page PDF changed how I'm building agentic systems today.
Read it now, then explore the article below.

Codez@0xCodez
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Arjun | Building Stuff with AI retweetledi

Loop Engineering is getting hype now.
But not many talks about how to actually do it
So I open-sourced the template my team uses to build agent loops:
- a shared artifact / knowledge layer
- logging, verification
- and a codebase harness so work compounds across runs
Plus a 20-min deep dive on how to think about it and set it up for real: github.com/AI-Builder-Clu…
Copy the template. Adapt it to your own loops.
Jason Zhou@jasonzhou1993
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Today we have @openclaw that can control almost everything on a computer.
But what if the OS itself was built around AI?
No apps. No menus. No searching.
Just tell your computer what you want, and it gets it done.
I'm building Icarus.
follow the journey of Icarus with me.
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@techNmak this is good but you can achieve same result with a well documented issue , well written prompt and a correct md file to help your agent around
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A dev got so frustrated watching his AI agent write 500 lines for a 5-line problem that he built a fix.
He called it Ponytail. Named after the guy every team has - long ponytail, oval glasses, been there longer than the version control. You show him fifty lines; he looks at them, says nothing, and replaces them with one.
Now your agent does the same. Before writing anything, it looks for a reason not to.
80-94% less code. 47-77% cheaper. 3-6x faster.
The best code is the code you never wrote.
GitHub Repo: github.com/DietrichGebert…

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@martinboksa this is so awesome refreshed some childhood memories
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I made this multiplayer bomb arena in 1 day with /goal + Claude Fable 5. Crazy. You can play it now at blastmates.app
Real-time multiplayer. Drop bombs, grab powerups, blow up your friends. Rooms for 4/6/8 players, bot opponents, mobile support (a bit rough but it works 🤷♂️), and a sudden-death mode that spirals the walls inward if a round drags on.
- Coded entirely in @claudeai with Fable 5
- All graphics generated with Fable 5, every sprite, the whole UI
- Music generated with Fable 5 too
- The only thing I touched by hand: a few .env files
Built solo, in a day. Blow up your buddies 💣
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Arjun | Building Stuff with AI retweetledi

🌘 Meet Kimi K2.7 Code HighSpeed!
A high-speed mode of our latest open-source multimodal coding model, Kimi K2.7 Code.
⚡️ Up to 6× faster: Around 180 tok/s on coding tasks with median-length inputs, and up to 260 tok/s on shorter-context tasks.
🔷 Rolling out to Kimi Code Beta Program members, Kimi API developers, and Kimi Business users. (Access will remain limited for now due to capacity constraints.)
🔷 No invite needed. Anyone who joins the Beta Program has a chance to get access 👉 kimi.com/code/beta
Open intelligence should be instant, affordable, and borderless. We'll continue improving the model and expanding access as more capacity becomes available!
🔗 Kimi Code: kimi.com/code
🔗 API: platform.kimi.ai
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Arjun | Building Stuff with AI retweetledi

Try it out!
(Partially trained on Colossus 2)
Cursor@cursor_ai
Introducing Composer 2.5, our most powerful model yet. It's more intelligent, better at sustained work on long-running tasks, and more reliable at following complex instructions. For the next week, we’re doubling the included usage of the model.
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Arjun | Building Stuff with AI retweetledi
