boirws

if you do good, yo do good for you

[AI Edge @aiedge_]

This Claude Fable 5 prompt audits your ENTIRE codebase for vulnerabilities, bugs, attack vectors, and more.

If you have a vibe-coded project, you need to use this ASAP:

[Shann³ @shannholmberg]

what is agent looping

for the last two years we prompted agents one task at a time. that is starting to change

instead of asking an agent to build the landing page and then driving every step yourself, you set up a loop that handles discovery, planning, the work, checking, and iterating until the goal is met

looping is a setup you build. almost any agent harness can run it, it just depends on how you wire it up

at its simplest, looping is one agent working on itself:

> researches
> drafts
> checks the draft against a goal
> fixes what is weak
> runs that cycle again until the work clears the requirements

you are not prompting each step anymore. the agent repeats the cycle for you

the bigger version is a fleet looping. you give an orchestrator agent a goal, it breaks the goal into pieces, hands each piece to a specialist agent, and those specialists hand smaller jobs to their own subagents

the whole tree keeps looping through discovery, planning, execution, and verification until the goal is met

one agent looping is like a person redoing their own draft. a fleet looping is a whole team running a project end-to-end

you create a goal, and the system runs the loop until it finishes within the reqs you set

open and closed looping:

OPEN LOOPING is exploratory. it still has conditions and a goal, but you give the agent or the fleet a wide space to move in. it can try different paths, discover things, build something you did not fully spec out

this is the exciting end, it is what Peter and others are doing, and tbh it is where I want to spend more time

the catch is cost, an open loop with real room to explore burns an insane amount of tokens. for the 90 percent of people without an unlimited budget it is not runnable yet, and pointed at projects with a loose standard it turns into a slop machine

CLOSED LOOPING is bounded. a human designs the end-to-end path first:

> clear goal
> defined steps
> an eval at each step
> a point where it stops or hands back to you (and feeds back performance data)

the agents still loop, but inside framework you built. it gets better every run because each pass feeds the next, and it runs on a normal budget because the path is tight.

for most marketing work, closed is the one that pays off today.

> the orchestrator owns the goal
> the specialists own the steps
> the subagents do the narrow work
> an eval gate make sure its not slop

[Harman @itsharmanjot]

Repo link: https://t.co/G3nKdluBhv

[Rash_TechAI @irashathadani]

10 RESEARCH WEBSITES THAT PHDS DO NOT WANT YOU TO FIND.

Bookmark this. Academia is gatekept by paywalls and you should not be paying.

1. https://t.co/w5aGmsEO8t
The largest open library on earth. Almost any textbook your professor assigned is here for free.

2. https://t.co/bgokJYdop3
The search engine for academic papers. Sort by citations to find the most influential research.

3. https://t.co/iF6YXpIhEj
AI powered paper search built by the Allen Institute. Highlights every citation in context.

4. https://t.co/5xwH9lD6tl
Plug in one paper, see every related study mapped as a graph. Reveals what experts actually read together.

5. https://t.co/1pMqKlnIWZ
An AI research assistant. Ask any question and get a structured table of papers with key findings.

6. https://t.co/loNjo3UikE
Aggregates the conclusions of thousands of papers into one answer. Stops cherry picking.

7. https://t.co/zoFxYq3kOi
The Spotify of papers. Recommends new research based on what you have already read.

8. https://t.co/SwdhbpHOQt
Visualizes citation chains. Shows how an idea spread across decades of research.

9. https://t.co/RmAmyVOCV7
Tells you which papers support, contradict, or mention any claim. Saves hours of fact checking.

10. https://t.co/D8H3COvPXj
200 million open access papers in one searchable index. The world's largest free academic archive.

Most students pay $40,000 to access what these sites already make free.

[Yarchi @undefinedKi]

THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC

Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team

Repo: affaan-m/ecc

This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products

What's inside:

A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review

Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work

The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed

This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to

Bookmark this

[Harman @itsharmanjot]

SINGLE CLAUDE .md FILE JUST HIT #1 ON GITHUB TRENDING

44k stars. 7 days. zero dependencies.

it fixes LLMs' worst coding habits using 4 principles. Karpathy called out.

here's exactly what's in it 👇

[Min Choi @minchoi]

Anthropic is using 1,000 freelance software engineers to train Claude Code.

$280 per task.

They write prompts, compare code, test follow-ups, and teach Claude how real devs work.

We are literally cooking ourselves

[boirws @secxai]

@davidsunarna ckup 12jt buat itu di lab, dan freelive

[boirws @secxai]

@pmitu nnton aja podcast raymond cin

[boirws @secxai]

@dinopattidjalal setuju dgn bapak, slayaknya anggaplah sibro dalam bbrapa komunitas namun tidak langsung berarti jadi sahabat atau real bro.

[boirws @secxai]

@elonmusk sa ae bg

[boirws @secxai]

@ismailfahmi br mulai build edge RAG ini ada aja 🤭🤣

[boirws @secxai]

ada njing blh gw wkwkw

[boirws @secxai]

@MrOngDedy apalagi si paling AI mau muntah 🤣

[Shraddha Bharuka @BharukaShraddha]

Google isn’t trying to win the AI race.

They’re trying to own the entire AI Agent ecosystem.

While everyone argues ChatGPT vs Claude, Google quietly built:

Models → Gemini Pro, Flash, Deep Think, Gemma

Design → Stitch, Whisk, Imagen

Research → NotebookLM, AI Mode

Video → Veo, Flow, Google Vids

Coding → Antigravity IDE, Gemini CLI, Jules

Agents → A2A, ADK, FileSearch API

The scary part?

All of these tools talk to each other.

That means:
10x faster prototypes
End-to-end AI workflows
Production-ready agents on GCP

The next AI war won’t be model vs model.
It’ll be ecosystem vs ecosystem.

I mapped this stack out here:
https://t.co/G3hahQclKI

Save. Share. Build.

[boirws @secxai]

@minchoi yups, start it follow the update start 2010. BR so aweaome 😎

[boirws @secxai]

@elonmusk knp sih bang ama bgates 🤣

[boirws @secxai]

@anxietymsgs no more reflection

[boirws @secxai]

@avoucedoo run kids

[boirws @secxai]

grock is my best friend