IaM_Rxta

Music Is My Religion #TurnUp #ril talk

[IaM_Rxta @donnyrxta]

Tierra Viva is not just a residence; it's a gateway to a world of endless possibilities. Nestled amidst the scenic hills of Benahavís, Costa del Sol. #TierraViva #LuxuryLiving #UnforgettableExperiences

[0xMarioNawfal @RoundtableSpace]

CLOUDFLARE WORKERS AI IS RUNNING GLM-5.2 CODING AGENTS FOR FREE

1. Create a free Cloudflare account
[https://t.co/TxLxCgsIyk]

2. Go to Workers AI and copy your Account ID
[https://t.co/JldkkfmLVP]

3. Create an API Token
[https://t.co/KYcw5Z41gL]

4. Add Cloudflare as a provider in OpenCode using this base URL:

txt
https://t.co/KoGdBqRU3r

5. Select this model:

txt
@cf/zai-org/glm-5.2

6. Start running it inside OpenCode, Cursor, Aider, Hermes Agent, Claude Code, or any OpenAI-compatible tool.

[Khushi Doshi @aiwithkhush]

7 GITHUB REPOS THAT FEEL ILLEGAL TO BE FREE (BUT AREN'T)

Bookmark every single one. Each one does something you'd expect to pay for, sign up for, or never find. All free, all legit.

1. https://t.co/7PcgVN8G3i

Point it at any website and it turns the whole thing into clean, AI-ready text, faster than the paid scrapers and with no API key, no account, no per-page fee. The #1 trending crawler on GitHub. A dev built it after getting fed up paying $16 for a gated tool. 51K stars. Apache 2.0.

2. https://t.co/NXtJNUgFHE

IBM's own tool that turns any PDF, Word doc, slide deck, or scanned page into clean markdown an AI can actually read, running entirely on your laptop. It skips OCR and runs 30x faster while keeping tables and structure intact. The document-prep step companies build whole pipelines around. 61K stars. MIT.

3. https://t.co/xgLQDLB4HL

An AI agent that drives a real browser like a person, clicking, scrolling, logging in, and filling out forms on sites it's never seen. Two ETH Zurich researchers built it and it hit 95K stars in a year. The repetitive web work you hate, done while you're away. MIT.

4. https://t.co/b7niObPOnd

Connect any app to any other and automate entire workflows across hundreds of integrations. Zapier charges by the task and the bill climbs fast. n8n runs on your own server with no per-action fee and no ceiling. The automation tax, deleted. 100K+ stars.

5. https://t.co/xExgm4ou2X

Run Llama, Mistral, DeepSeek, and Qwen on your own machine with one command. No API bill, no rate limit, no data leaving your computer. The thing people pay per token for, running free and offline on your laptop. MIT.

6. https://t.co/Cw4HpSSoy7

OpenAI's own speech-to-text model, free to self-host, transcribing 99 languages at the exact accuracy Otter, Rev, and Descript charge you per minute for. The engine inside the paid transcription apps, sitting on your machine for nothing. MIT.

7. https://t.co/xXYZnn7ZPb

Pull video or audio from YouTube and 1,800+ other sites, full quality, subtitles and metadata included, straight to your drive. 171K stars and a fix shipped within hours every time a platform tries to break it. The Unlicense, which means it's freer than free.

Free was always the default. Someone just had to build it.

[Tom Dörr @tom_doerr]

Self-hosted job application tracker and AI assistant

https://t.co/gBpY7mu9Jd

[Tom Dörr @tom_doerr]

Aggregates hundreds of OSINT tools for recon and research

https://t.co/ScfibjdP6n

[Vivek | Cybersecurity @VivekIntel]

🛡️ Faraday – Open-Source Vulnerability Management Platform

Faraday is an open-source vulnerability management platform that helps security teams centralize, organize, and manage findings from multiple security tools. Instead of manually tracking scan results, Faraday aggregates and normalizes data from 80+ supported tools into a collaborative workspace.

Key features:
• Centralized vulnerability management
• Multi-user collaboration for Red Teams and Pentesters
• Integrates with 80+ security tools including Nmap, Burp Suite, OWASP ZAP, Metasploit, and more
• REST API, CLI, Docker, and CI/CD integration
• Import scan reports (XML, JSON, etc.) and automate security workflows
• Dashboard for tracking assets, vulnerabilities, and remediation progress

Ideal for penetration testers, security consultants, bug bounty teams, and organizations looking to streamline vulnerability management.

🔗 https://t.co/XQRNXgs7YU

#CyberSecurity #VulnerabilityManagement #Pentesting #DevSecOps #OWASP #RedTeam #OpenSource #BugBounty

[Tom Dörr @tom_doerr]

Uses 18 AI personas to deliberate complex decisions

https://t.co/Bn6ykj7Nyl

[Sharbel @sharbel]

The 10 fastest growing GitHub repos this week:

1. OpenMontage (+17.2K stars)
World's first open-source, agentic video production system. 12 pipelines, 52 tools, 500+ agent skills. Turn your AI coding assistant into a full video production studio.
https://t.co/Eyne4RLb91

2. skills (+11.1K stars)
Skills for Real Engineers. Straight from my .claude directory.
https://t.co/PTYJ04IvSV

3. codebase-memory-mcp (+7.6K stars)
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
https://t.co/rdyghXFakB

4. Agent-Reach (+7.2K stars)
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
https://t.co/Bwjgn68nbE

5. daily_stock_analysis (+6.9K stars)
LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
https://t.co/3Pv4wIKQij

6. Anthropic-Cybersecurity-Skills (+5.1K stars)
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · https://t.co/Y0NuBsNoS7 standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
https://t.co/QkecybDfm4

7. design.md (+4.6K stars)
A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.
https://t.co/KB88s8dTzG

8. ai-website-cloner-template (+3.9K stars)
Clone any website with one command using AI coding agents
https://t.co/q2b9cpOhuE

9. voicebox (+3.8K stars)
The open-source AI voice studio. Clone, dictate, create.
https://t.co/o2JYalF0aB

10. penpot (+3.6K stars)
Penpot: The open-source design tool for design and code collaboration
https://t.co/fUHwzWq6y9

The theme this week: agent skill packs and context files are becoming the new developer dotfiles.

Bookmark this. Next week's list will look completely different.

[Vasilije @tricalt]

Introducing Cognee v1.0: a major breakthrough in agentic intelligence.

It is 145% better than Opus 4.8 and GPT 5.5 at long context memory retrieval.

Cognee allows a 100 BILLION token context window 100,000x more than Claude. It's:

- 6.9x cheaper than GPT 5.5 and Opus 4.8
- Cold starts in 350ms & searches in 260ms

Why this matters:

Today agents forget important context, redo tasks, waste tokens, and slow down as workflows get more complex.

Cognee solves this.

It’s not a place to build agents. It connects to the agents you’ve already built, across any platform, and makes them significantly cheaper, faster, and more accurate.

Here's how it works:

[Fili @filiksyos]

my new hobby:

find cracked devs on github and steal their skills

[Charly Wargnier @DataChaz]

🚨 A SENIOR ANTHROPIC ENGINEER JUST DROPPED AN 11-PAGE PDF ON LOOP ENGINEERING.

The core shift: stop prompting the agent. Build the system that prompts it.

Inside the autonomous loop:

- Discover → Finds its own work (failing CI, open issues).
- Isolate → Uses separate git worktrees to prevent collisions.
- Verify → A second agent reviews the work. (Never let agents self-grade).
- Persist → Writes to disk, not temporary context windows.
- Schedule → Runs automatically on a timer.

This is a great framework for building more reliable agentic systems

link to the guide below.

Read it, then check out this ace article on Loop Engineering by @akshay_pachaar 👇

[Isra @israfill]

CHINA is giving 20M FREE tokens to use GLM-5.2, 5.1, their frontier coding model, and barely anyone outside china has noticed 😳

no credit card. no subscription. 1M token context.

zhipu just shipped GLM-5.2 - 756B params, MIT licensed, built for agentic coding and every new account gets 20M tokens to run it free

what you get for $0:
- 20,000,000 free tokens (real quota, not a 7-day trial)
- 120 free image + video generation credits
- full GLM-5.2 with high + max thinking modes
- 1M token context - feed it your entire codebase
- openai-compatible api - drops into cursor, claude code, cline, anything

what this replaces:
- Cursor Pro: $20/mo
- GitHub Copilot: $10/mo
- Claude API: $3-15 per million tokens
- the GLM Coding Plan itself: $3-15/mo - you skip even that

bigmodel asks for a chinese number? 3 ways around it:
- easiest: skip it and sign up on https://t.co/wqhdS6GPCT instead (global site, takes international numbers + email, own free daily trial)
- cheapest +86: rent a one-time chinese number on sms-activate or 5sim for under a dollar, paste the code
- free but flaky: grab a public +86 from quackr or receive-sms (often already used, retry a couple)

how to set up (2 min):
> register at https://t.co/fs7sk4i49c
> verify, open the console - 20M tokens land automatically
> create an api key
> base url: https://t.co/l4VZWIzOhk
> model: glm-5.2 - point any openai sdk at it

important:
- MIT licensed - you can even self-host the weights free
- free quota, grab it before the terms change

run a 756B coding model on your whole codebase for $0
while everyone else burns $20/mo per tool

bookmark this before the free quota disappears

[IaM_Rxta @donnyrxta]

Looper

[Kevin Simback 🍷 @KSimback]

Feeling a bit loopy? Introducing Looper - your loop design coach

It’s been made clear that we shouldn’t be promoting agents, we should be designing loops

You can use /loop or /goal but if your loop is poorly designed then it won’t produce good output

Even worse, a poorly designed loop will burn a ton of tokens

So I created Looper - a tool to help me design better loops, and decided to open source it

Here’s what it does:

> /looper invokes the loop design wizard
> critiques your goal/loop and helps you sharpen it based on a library of best practices
> builds a verification rubric so it knows what "done" should be
> allows you to add an LLM as judge, including non-Claude models like Codex
> adds guardrails and helps you set a budget with tight/generous options to avoid token waste
> generates portable artifacts to make it easy to repeat / edit the loop
> gives you a visual diagram for your loop (see replies for examples)

Looper is intentionally a design layer, not a heavy orchestration framework - it helps you create a loop worth running, then hands it to Claude Code or your own runner/orchestrator

Please share your feedback, this was v0.1 so I expect it to have room for improvements, and feel free to submit issues or PRs

Note: Looper was inspired by @mvanhorn's "WTF is a loop" article and then fine-tuned with some of the tips in the great loop architecture article by @djfarrelly
https://t.co/smAXbBrWnW

[IaM_Rxta @donnyrxta]

Loop engineering

[Hasan Toor @hasantoxr]

Loop Engineering is the next step after prompt engineering.

Most people still use Claude Code, Codex, Cursor, or Grok like a chat box:

Prompt.
Wait.
Copy.
Fix.
Prompt again.

This repo shows the next step:

You stop prompting the agent.

You design the loop that prompts the agent for you.

Inside:

→ Daily triage loops
→ PR babysitter loops
→ CI sweeper loops
→ Dependency sweeper loops
→ Changelog drafter loops
→ Post-merge cleanup loops
→ Issue triage loops

It also gives you CLIs to:

• Scaffold a loop
• Estimate token cost
• Audit if your repo is ready
• Add memory/state
• Add human handoff
• Add verification gates
• Run agents safely through GitHub Actions

The wild part is the shift in thinking.

Prompt engineering was about writing better instructions.

Loop engineering is about building a system where agents keep working, checking, fixing, and escalating without you babysitting every step.

This is what AI coding looks like when it stops being a chat session and starts becoming an operating system for software teams.

Repo: https://t.co/2USzC6KHUt

[Julian Goldie SEO @JulianGoldieSEO]

𝗧𝗵𝗲 𝗯𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀 𝗮𝗿𝗲 𝗶𝗻: 𝗦𝗮𝗸𝗮𝗻𝗮 𝗙𝘂𝗴𝘂 𝗯𝗲𝗮𝘁𝘀 𝗢𝗽𝘂𝘀 𝟰.𝟴 𝗮𝗻𝗱 𝗺𝗮𝘁𝗰𝗵𝗲𝘀 𝗙𝗮𝗯𝗹𝗲 𝟱.

A tiny Tokyo lab matched Fable 5 without ever touching Fable 5.

Here are the receipts.

On the hardest coding test, Fugu Ultra scored 73.7.

Opus 4.8 got 69.2. GPT 5.5 got 58.6.

On graduate-level science questions, it hit 95.5.

And Fable 5 isn't even in its lineup. It's locked from the public.

So it reaches that level by smartly orchestrating every other model.

Real users see it too. One found 20+ code bugs where other tools found 3.

The trick: it's a conductor that splits the job and checks its own work.

The frontier isn't about the biggest model anymore. It's about who coordinates best.

Save this. You'll want it the next time you need Fable 5 level power.

[IaM_Rxta @donnyrxta]

High resolution map posters

[Tom Dörr @tom_doerr]

Terraink generates high-resolution map posters from OpenStreetMap data

https://t.co/UDWXQ1oAq9

[IaM_Rxta @donnyrxta]

Ai pentesting tool

[Vivek | Cybersecurity @VivekIntel]

🤖 pentest-ai – AI Pentesting Tool That Verifies Every Finding

pentest-ai is an open-source AI-powered penetration testing framework that doesn't just detect vulnerabilities—it replays exploits to verify them before reporting. It combines AI agents, 200+ security tools, authenticated testing, exploit chaining, and machine-verified proof capsules to reduce false positives. With MCP support, CI integration, SARIF reports, and offline execution, it's built for modern security teams and researchers.

🔗 https://t.co/07LcoL7n0M

#CyberSecurity #Pentesting #AI #RedTeam #OpenSource

[IaM_Rxta @donnyrxta]

Offensive security

[Nicolas Krassas @Dinosn]

uphiago/recon-skills: 144 offensive security skills for recon and pentest. Field-validated techniques from 600+ targets across 45+ sectors. Updated with web enum, email sec, google dorks, cloud IAM, WordPress full compromise ch... https://t.co/pUvq61RPyT

[IaM_Rxta @donnyrxta]

GLM 5.2 free

[painn @_0xpainn]

Found a way to run GLM-5.2 for FREE with no daily limits through Cloudflare Workers AI 😳

No credit card. No monthly bills. Just one API token and you get solid usage.

What GLM-5.2 on Cloudflare unlocks:
-Strong agentic coding performance
-262k context window
-Tool use and function calling
-OpenAI-compatible endpoint
-Works with OpenCode, Cursor, Aider, Hermes, and more

What this replaces:
-Paid frontier model usage for daily coding agents
-Expensive API costs just to test workflows

How to grab it (5 min):

1. Create a free Cloudflare account

2. Go to Workers AI and copy your Account ID

3. Create an API Token

4. Add the provider in OpenCode with this base URL:
https://t.co/I06wzl3TnF

5. Select model: @cf/zai-org/glm-5.2

6. Start running agents

Works in OpenCode, Cursor, Aider, Claude Code, Hermes Agent, and any OpenAI-compatible tool.

Your buddy pays $20–200/mo for coding agents. You get strong performance for $0.

Bookmark this before Cloudflare changes the free tier.

[IaM_Rxta @donnyrxta]

Underrated GitHub repos

[Dharmvir @dharmvir_]

UNDERRATED GITHUB REPOS:

1. h4cker

https://t.co/73iI4vYAcT…

Includes thousands of resources related to ethical hacking, bug bounties, digital forensics, etc.

2. LiteLLM

https://t.co/g321zjavCf

One Python SDK to call 100+ LLM providers (OpenAl, Anthropic, Gemini, etc.) in OpenAl format.

3. 33-js-concepts

https://t.co/hLzgqxQTCo…

33 JavaScript concepts every developer should know, each with practical code examples.

4. System Design 101

https://t.co/2RIX3CJ9WD…

Helps you prepare for system design interviews by explaining complex systems with visuals.

5. sqlmap

https://t.co/PCO0SPVXnI…

An automated penetration testing tool for identifying and exploiting SQL injection vulnerabilities.

Bookmark it. Repost it to help others.

[Vox @Voxyz_ai]

stop telling Claude Code/Codex "read this file".
stop telling Claude Code/Codex "now read that one too".
stop telling Claude Code/Codex "grep the whole repo".

install codebase-memory. it indexes the Linux kernel, 28M lines, in 𝟯 𝗺𝗶𝗻𝘂𝘁𝗲𝘀. your repo takes seconds.

index once and the whole repo becomes 𝗼𝗻𝗲 𝗴𝗿𝗮𝗽𝗵 of every function, file and dependency. one query replaces dozens of grep and read cycles.

benchmarked across 31 real repos:
→ 10x fewer tokens on structural queries
→ 83% answer quality on complex tasks
→ 2.1x fewer tool calls

two prompts. send them straight to your agent 👇