Laurent Philibert

Manager - Data in Financial Services at Aurexia | ex @DXCTechnology @TalanConsulting | #digital #innovation #data #AI #economy #finance & #hashtag enthusiast

[Laurent Philibert @LTPHT]

hello world

[darkzodchi @zodchiii]

REA is the most dangerous thing on the internet right now...

And 99% of people have no idea how to use it.

You pay every month for apps whose features are already sitting on your computer.

Send this single prompt to Opus 5.5 and reverse-engineer any paid closed-source app

Then save the article below on how to become REA engineer👇

[alex @alextalksai]

el ingeniero que construyó Claude Code acaba de publicar un video de 28 minutos sobre cómo escribir prompts que realmente funcionan

he visto cursos de 300$ que no cubren lo que él muestra en los primeros 10 minutos

archivos CLAUDE.md,atajos de memoria, sesiones paralelas, patrones de prompting

todo en un video y completamente gratis

funciona seas desarrollador, principiante o alguien que lleva meses usando Claude

[Khairallah AL-Awady @eng_khairallah1]

Claude Code tip: stop burning Opus 5.5 context on tasks Sonnet 5.5 can swarm, while Fable 5.1 sits idle

spin up an autonomous team with --agent

claude --agent architect

Opus 5.5 acts as the lead architect, scoping the work and validating every worktree before it merges
Sonnet 5.5 teammates take isolated git worktrees and hammer out implementations at medium effort
Fable 5.1 sits on the team as a dedicated adversary, only stepping in at three critical moments:

→ before a contract locks: does the frontend payload match the backend schema?
→ when a test breaks twice: are we patching the bug or just hiding the symptom?
→ before the merge: what attack surface or edge case did everyone overlook?

Sonnet 5.5 builds. Fable 5.1 challenges. Opus 5.5 merges and ships

Jev engineering runs the identical pattern one layer down: mechanical decisions that need no reasoning (which file to open, which tool to invoke, retry or abort) execute in 16ms, so the frontier models only wake up when execution paths actually diverge

Plan on high. Delegate on medium. Keep the adversary on peer-to-peer call.

- the full team setup
> architect runs the main session on Opus 5.5 at high effort
> teammate-ux builds client state inside its own git worktree
> teammate-back writes endpoints and migrations inside a separate worktree
> teammate-adv runs on Fable 5.1, read-only, and attacks every diff
> teammates message each other by name without routing through the lead
> tools: Agent(ux, backend, adversary) locks the architect to spawning only its own team

paste the setup and this prompt into Claude Code below:

"Configure my Claude Code workspace for an autonomous agent team:

1. Audit ~/.claude/agents and .claude/agents for definitions fitting architect, ux, backend and adversary
> Generate definitions only for missing roles
> Pin model: sonnet, effort: medium, isolation: worktree for ux and backend, and model: fable with read-only tools for adversary
> Give architect model: opus, effort: high and tools: Agent(ux, backend, adversary)

2. Check ~/.claude/settings.json and my env:
> Report CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS if it's set, since it turns named subagents into teammates without worktrees
> Report CLAUDE_CODE_SUBAGENT_MODEL_FORCE and CLAUDE_CODE_EFFORT_LEVEL, which can override the pinned models and effort

3. Write each role's prompt so ux and backend own separate folders, message each other by name when a contract changes, and hand every diff to adversary before reporting back

4. Add a team rule to ~/.claude/CLAUDE.md: no worktree merges until adversary has reviewed it

Show every configuration diff first. Do not apply edits until confirmed"

save it

[Amit Kumar Pandey @1006_amit7481]

Claude FULL COURSE 1 HOUR (Build & Automate Anything).

INSTEAD OF WATCHING NETFLIX TONIGHT.

Spend 1 hour on this.

[Kiran Kanwar @kiranrathore123]

INSTEAD OF WATCHING NETFLIX TONIGHT.

Spend 1 hour with this.

Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.

The people who watch this tonight will wake up tomorrow with a new skill.

Watch it and Bookmark it now

[Rahul @sairahul1]

🚨 IMPORTANT: Anthropic's CEO predicted that software engineers will be fully automated in 12 months

In 12 months there will be two types of people:

1: those, who learnt AI Engineering in 6 months and found a job
2: those, who will be replaced with the help of these AI Engineers

it's up to each person, control or be controlled

[CyrilXBT @cyrilXBT]

WANT TO BECOME AN AI ENGINEER IN 2026 WITHOUT A CS DEGREE. HERE IS THE EXACT STACK.

Python. SQL. Git and Linux. REST APIs and LLM integration. Embeddings and vector search. RAG end to end. Agent frameworks. Deployment. Claude Code and Cursor.

Then build these three things:

1) A RAG app.
2) A real agent with tools.
3) A deployed full stack AI product.

That portfolio gets you in the door at $100K to $150K starting. No degree conversation required.

Follow @cyrilXBT

[Vikas gupta @vicky_grok]

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Tech with Mak @techNmak]

This isn't just a bookshelf, it’s a $300k/year survival kit.

[Codez @0xCodez]

Ex-Google engineer reveals how to build AI agent loops, harnesses, LLM ops, and evals in 19 minutes.

Trace → evaluate → diagnose → fix → ship → repeat.

That loop is how agents self-improve over time.

Agentic loops + harness + memory + evals - that’s the senior engineer stack.

This is better than $500 paid courses on the same topic, explained in under 20 minutes.

Watch it, then save the framework below.

[Rahul @sairahul1]

Sam Altman:

"We're going to see 10-person billion-dollar companies pretty soon."

"If I were 22 right now, I'd feel like the luckiest kid in history."

Most people will read this, feel inspired for 3 minutes, and go back to what they were doing.

The ones who act will build a one-person company this weekend.

One tool. Claude Cowork. Full operation.

This is the exact playbook ↓

[Spencer Baggins @bigaiguy]

A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name.

He wrote the code that streams every YouTube video, every Netflix show, every TikTok clip. He wrote the code that runs the virtual servers underneath AWS, Google Cloud, and Microsoft Azure. He calculated more digits of pi than anyone in history. He has no Twitter. He has no marketing. He just keeps shipping.

His name is Fabrice Bellard.

Here is the story, because almost nobody outside the systems programming world knows what one man has built.

Fabrice was born in 1972 in Grenoble, France. He studied at École Polytechnique, the top French engineering school. He never went to Silicon Valley. He never built a startup empire. He just wrote code.

In 2000 he started a project called FFmpeg, an open-source multimedia framework for encoding, decoding, and streaming video. He was 28. The project did one thing nobody else had done well. It handled every video and audio format that existed, in one library, on every operating system. He led it himself for years.

Today FFmpeg is the invisible engine of the internet. YouTube uses it. Netflix uses it. VLC uses it. Chrome and Firefox use parts of it. Every Android phone, every iPhone, every smart TV, every video editing tool you have ever touched runs FFmpeg somewhere underneath. If you have watched a video on a screen in the last 20 years, Fabrice's code processed it.

He was not done.

In 2003 he started QEMU, a machine emulator and virtualizer. He wrote it solo until version 0.7.1 in 2005. QEMU lets you run any operating system on any other operating system. It became the foundation of modern virtualization. KVM, the Linux kernel hypervisor, runs on top of QEMU. Every major cloud provider, AWS, Google Cloud, Microsoft Azure, IBM Cloud, runs virtual machines on infrastructure built around it. The Quick Emulator is the most cited piece of cloud infrastructure code on Earth.

He kept going.

In 2001 he won the International Obfuscated C Code Contest with a small C compiler that grew into TCC, the Tiny C Compiler. TCC can compile and boot a Linux kernel from source in under 15 seconds. In 2004 he calculated the most digits of pi ever computed at the time, using a personal desktop computer and an algorithm he derived himself called Bellard's formula. In 2011 he wrote a complete PC emulator in pure JavaScript that runs Linux in your browser, a project called JSLinux that engineers still cannot believe is real.

In 2019 he released QuickJS, a small but complete JavaScript engine that fits where V8 cannot. In 2021 he released NNCP, a neural network based lossless data compressor that immediately took the lead on the Large Text Compression Benchmark.

Then he turned his attention to large language models. He built TextSynth Server, a web server with a REST API for running LLMs locally. He released ts_zip and ts_sms, compression utilities that use language models to compress text and short messages at ratios traditional algorithms cannot reach. He released TSAC, a very low bitrate audio compression system. In December 2025 he released Micro QuickJS, a new JavaScript engine for microcontrollers, separate from QuickJS, designed for environments with almost no memory.

Fabrice co-founded a telecom company called Amarisoft in 2012, where he serves as CTO. Amarisoft builds 4G and 5G base station software used by carriers and labs around the world. He has been running it for over a decade while continuing to ship personal projects from his own home page at bellard dot org

He has no Twitter. He has no Instagram. He gives almost no interviews. His personal website is a flat list of projects with no styling, no fonts, no marketing copy. Just titles and links.

A quiet French engineer who never moved to Silicon Valley wrote the code that quietly runs the internet.

He is still shipping.

[Laurent Philibert @LTPHT]

🏦 Les banques déploient massivement des agents IA autonomes en 2026 : 31% d'adoption, 97 Md$ d'investissements prévus d'ici 2027. L'ère des pilotes est terminée ! #FinTech #IA https://t.co/ELlxVAu5jH
https://t.co/ELlxVAu5jH

[Laurent Philibert @LTPHT]

Claude for Small Business: QuickBooks, PayPal, HubSpot, Canva, M365 connectors at no extra cost. AI finally democratized for SMEs! #AI #SME #Claude #Anthropic
https://t.co/PAJUfUHC1R

[Laurent Philibert @LTPHT]

76% of organizations created Chief AI Officer role (vs 26% in 2025, IBM). HSBC and Lloyds recruited. New strategic or transitional function? Debate open. #CAIO #AI #Leadership
https://t.co/t4ik4Bfzp2

[Laurent Philibert @LTPHT]

78 500 emplois tech supprimés en 2026, 50% par automatisation IA. Les GAFAM réallouent 650Mds$ vers l'infrastructure. Agent4Science déploie 150 agents autonomes. Le travail se réinvente. #FutureOfWork #IA

[Laurent Philibert @LTPHT]

⚠️ Gartner: 40% agentic AI projects canceled by 2027 (costs, risks). 50% governance failures by 2030. Tech ≠ problem. Foundations first! 🏗️ #AI #Risk #Governance
https://t.co/hzHPVwM10T

[Anatoli Kopadze @AnatoliKopadze]

This 3-minute video from Anthropic will make you realize you've been using Claude wrong this whole time

"when you open Claude Code without a CLAUDE.md file, it has to start fresh every single time"

most people have no idea how much this one file changes the way Claude actually works for you

and this isn't only for developers

the article below has 21 CLAUDE.md examples you can use in your daily routine

I'm sure everyone will find something that fits exactly how they work

[Laurent Philibert @LTPHT]

💰 McKinsey: AI agents in banking = 2.3x ROI in 13 months, -30-40% costs, +4x risk detection. Early adopters: +4pts ROTE. Business case validated! 🏦 #BankingAI #ROI
https://t.co/hhpRZAVnRu

[Khairallah AL-Awady @eng_khairallah1]

The person who built Claude Code just showed exactly how to use it.

30 minutes. Free. Straight from Boris Cherny himself.

Bookmark this before you forget.

Most people using Claude daily are missing 40+ features hiding in plain sight.

This single session is worth more than any $1000 course.