techchelle

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techchelle

techchelle

@techchelle

7+ yrs Software Engineer | FE specialist & ex-blockchain | Prototyping w/ AI | Sharing what works, breaking what doesn’t | Bootstrapping ideas into impact

Florida Katılım Aralık 2020
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techchelle
techchelle@techchelle·
What’s something you have a very strong opinion on as a software engineer/dev?
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Adi Singh
Adi Singh@adisingh·
The 24-29 year old engineer will soon become the most valuable asset in technology. Pre-AI principles + Post-AI speed is an undefeated combo
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Abhi Varde
Abhi Varde@varde_abhi·
@techchelle what a time, but also a bit overwhelming sometimes trying to keep up while building and figuring things out in real time
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Justin Schroeder
Justin Schroeder@jpschroeder·
This is a much bigger deal than most people realize. If you don't know why, let me explain. Agents perform "work" right now by calling "tools". These are just pieces of context shoved into the context window saying "if you think you the next thing you should do falls into one of these categories, then respond with this format" — that format is the "tool" a JSONSchema response which a harness then uses to call a function. MCP, is best thought of as a way to shove more tools and context into your context window (it has a lot of shortcomings imo). The agent then has to pick which tool out of all the available tools it should call. So the more tools you have, the worse it selects the tools. @threepointone and @KentonVarda have an excellent article (blog.cloudflare.com/code-mode) where they introduced the idea of exposing the MCP tools as an SDK, so to call tools and compose them, the AI just does what it is ALREADY good at: write some code. The question, as always, is where do you run that code safely. Many have proposed sandboxes and containers as a possible solution, but these are hella slow and make the experience untenable. Thats what makes this announcement SO important, it allows you to run agent-written code in a matter of milliseconds with the explicit execution environment you specify pulled in (like a database, kv store, etc. Cloudflare calls these "bindings" btw). In practice, this means people can start building MUCH more effective agents that can *do* a lot more, because they can be exposed to more tools. Anyway, huge deal. Congrats to the CF team.
Cloudflare@Cloudflare

We’re introducing Dynamic Workers, which allow you to execute AI-generated code in secure, lightweight isolates. This approach is 100 times faster than traditional containers. cfl.re/4c2NvPl

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Vasiliy Zukanov
Vasiliy Zukanov@VasiliyZukanov·
Dirty industry secret: nobody really knows the best way to use AI for software development 📢 - 24 months ago, we copy-pasted from ChatGPT - 18 months ago, we jumped between ask mode and agent mode - 12 months ago, we told AI "you are a senior developer" - 9 months ago, we built MCPs - 6 months ago, we switched to plan mode - today, we're obsessed with skills All of this (and much more) are just early experiments and temporary hacks in a very young and quickly evolving field. So when someone says their workflow is the optimal one, they're confused at best. Stay curious, stay open, stay in control and stick to the fundamentals, and you'll come on top in this amazing tech revolution. Enjoy the ride!
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Tuki
Tuki@TukiFromKL·
🚨 Andrej Karpathy just explained the scariest thing happening in software right now.. someone poisoned a Python package that gets 97 million downloads a month.. and a simple pip install was enough to steal everything on your machine.. SSH keys.. AWS credentials.. crypto wallets.. database passwords.. git credentials.. shell history.. SSL private keys.. everything.. and here's the part that should terrify every developer alive.. the attack was only discovered because the attacker wrote sloppy code.. the malware used so much RAM that it crashed someone's computer.. if the attacker had been better at coding.. nobody would have noticed for weeks.. one developer.. using Cursor with an MCP plugin.. had litellm pulled in as a dependency they didn't even know about.. their machine crashed.. and that crash saved thousands of companies from getting their entire infrastructure stolen.. Karpathy's take is the real wake up call.. every time you install any package you're trusting every single dependency in its tree.. and any one of them could be poisoned.. vibe coding saved us this time.. the attacker vibe coded the attack and it was too sloppy to work quietly.. next time they won't make that mistake.
Andrej Karpathy@karpathy

Software horror: litellm PyPI supply chain attack. Simple `pip install litellm` was enough to exfiltrate SSH keys, AWS/GCP/Azure creds, Kubernetes configs, git credentials, env vars (all your API keys), shell history, crypto wallets, SSL private keys, CI/CD secrets, database passwords. LiteLLM itself has 97 million downloads per month which is already terrible, but much worse, the contagion spreads to any project that depends on litellm. For example, if you did `pip install dspy` (which depended on litellm>=1.64.0), you'd also be pwnd. Same for any other large project that depended on litellm. Afaict the poisoned version was up for only less than ~1 hour. The attack had a bug which led to its discovery - Callum McMahon was using an MCP plugin inside Cursor that pulled in litellm as a transitive dependency. When litellm 1.82.8 installed, their machine ran out of RAM and crashed. So if the attacker didn't vibe code this attack it could have been undetected for many days or weeks. Supply chain attacks like this are basically the scariest thing imaginable in modern software. Every time you install any depedency you could be pulling in a poisoned package anywhere deep inside its entire depedency tree. This is especially risky with large projects that might have lots and lots of dependencies. The credentials that do get stolen in each attack can then be used to take over more accounts and compromise more packages. Classical software engineering would have you believe that dependencies are good (we're building pyramids from bricks), but imo this has to be re-evaluated, and it's why I've been so growingly averse to them, preferring to use LLMs to "yoink" functionality when it's simple enough and possible.

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Ejaaz
Ejaaz@cryptopunk7213·
just another insane week in AI, buckle the fuck up: - Apple banned vibe coding killing apps like $9 billion replit - an AI cow startup worth $2 billion is controlling cows via a “cowgorithm” (backed by peter thiel) - google destroyed Figma’s marketcap by 10% after releasing an AI competitor ‘stitch’ - China released a frontier AI model that BUILT ITSELF. automates 30-50% of ai research for their team. - elon musk / tesla / spacex is building a 1 TERAwatt chip fab + settlement on the moon. - a father hooked up chatgpt to his daughters piano and created a ‘Guitar Hero’ game (it’s fucking sick) - Cursor released a new ai model but was exposed for it being a chinese model (kimi) - speaking of Kimi - they just raised $1 billion. value has 4X’d in 3 MONTHS - Jensen huang projected $1 Trillion revenue for nvidia through 2027 - anthropic shipped 8 (EIGHT) features THIS week (inc sunday) + openclaw competitor - anthropic also dominated enterprise ai with a 73% market share of 1st time users - Jensen huang projected $1 Trillion revenue for nvidia through 2027 - Runway dropped a new video model that *instantly generates video* in milliseconds. - the Pentagon is starting to train Chatgpt and Grok on classified information for AI-warfare - nvidia dropped an AI video game graphic model dlss 5 that everyone hated (i think it’s cool fwiw)
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Dan Shipper 📧
Dan Shipper 📧@danshipper·
new model for engineering team structure in 2026: 2 people only one pirate and one architect the pirate's job is to move as fast as possible to develop valuable, shipped product features by vibe coding. the architect's job is to turn the product surface discovered by the pirate into a reliable, structured machine—also by vibe coding, but at a slower, more well-reasoned pace. every product needs a pirate but most product's only need an architect once they some form of PMF, and in that case they usually don't need one full-time. architects can work across many codebases and solve interesting technical challenges. pirates go hard on a product that they own end-to-end.
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Evan Luthra
Evan Luthra@EvanLuthra·
🚨BREAKING: ANTHROPIC IS GIVING AWAY THE SAME CERTIFICATION THAT DELOITTE IS MASS-TRAINING 15,000 EMPLOYEES TO GET. It costs $0. You need a laptop. That's it. It's called the "Claude Certified Architect." Think of it like the AWS cert but for AI. If you were around when AWS certs started, you know what happened. They went from "cool to have" to "you're not getting hired without one." That took about 5 years. This is going to happen way faster. Look at who's already moving: Accenture - training 30,000 people on Claude Cognizant - rolled it out to 350,000 employees Deloitte - opened Claude access to 470,000 people Infosys - anchor partner These aren't startups experimenting. These are billion dollar consulting firms restructuring their entire workforce around Claude. And the certification they need? You can take it right now from your bedroom. Let me be real though. This is not one of those "watch 2 videos and get a badge" type certs that nobody respects. This thing is hard. 60 questions. 2 hours. Proctored. Webcam on. No breaks. No googling. They drop you into real scenarios like designing a customer support agent that handles refunds or setting up Claude in a CI/CD pipeline. The wrong answers look right on purpose. They're the exact mistakes real engineers make in production. 720 out of 1000 to pass. People who took it are saying the agentic architecture and multi-agent orchestration sections are brutal. Most of the exam is about building AI systems that actually work in the real world. Not prompting. Not chatting with Claude. Architecting production systems. All the prep? Free. Anthropic put out 13 courses on their Academy. No paywall. The cert itself is free for the first 5,000 people. After that $99 per attempt. How to get it: 1. Join the Claude Partner Network (free) → partnerportal.anthropic.com 2. Start the free prep courses → anthropic.com/learn 3. Register for the exam → anthropic.skilljar.com 4. Take the official practice exam 5. Book the real one when you're ready It launched 10 days ago. Almost nobody has it yet. That's the whole point. Get it before it becomes the thing everyone has.
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NIK
NIK@ns123abc·
🚨NEWS: Cursor’s $50B “in-house model” is literally Kimi K2.5 with RL on top. Got caught in 24 hours >be Moonshot AI >spend hundreds of millions training Kimi K2.5 >1 trillion parameters, 15 trillion tokens, agent swarm architecture >beat GPT-5.2 and Opus 4.5 on real benchmarks >open-source it because you believe in the ecosystem >one condition: display “Kimi K2.5” if you make over $20M/month from it >Cursor takes the model >runs RL on coding tasks >ships it March 19 as “Composer 2” >blog post: “continued pretraining + scaled reinforcement learning” >zero mention of Kimi K2.5 >“our in-house models generate more code than almost any other LLMs in the world” >publishes benchmark chart >Composer 2 against Opus 4.6 and GPT-5.4 >uses the chart to justify raising at $50 billion! >less than 24 hours later >kimi dev intercepts the API response >model ID: kimi-k2p5-rl-0317-s515-fast >they didn’t even rename it >Moonshot head of pretraining runs tokenizer test >confirms: identical to Kimi’s tokenizer >publicly tags Cursor’s co-founder: “why aren’t you respecting our license?” >two more Moonshot employees post confirmations >all three posts deleted within hours >legal is now involved >but it gets worse >Cursor had Kimi K2.5 listed as a FREE model in their UI just weeks ago >users were openly using it >Feb 9: “K2.5 was in my model list. I updated and it vanished” >it vanished because Cursor pulled it from the picker, and relaunched it as their own model >Moonshot valuation: $4.3B >Cursor valuation: $50B Absolute state of Cursor.
NIK tweet mediaNIK tweet mediaNIK tweet media
Elon Musk@elonmusk

@fynnso Yeah, it’s Kimi 2.5

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Stitch by Google
Stitch by Google@stitchbygoogle·
Meet the new Stitch, your vibe design partner. Here are 5 major upgrades to help you create, iterate and collaborate: 🎨 AI-Native Canvas 🧠 Smarter Design Agent 🎙️ Voice ⚡️ Instant Prototypes 📐 Design Systems and DESIGN.md Rolling out now. Details and product walkthrough video in 🧵
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Google Labs
Google Labs@GoogleLabs·
Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow. 🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas. ⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system. 🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time. Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → stitch.withgoogle.com
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Ejaaz
Ejaaz@cryptopunk7213·
Anthropic launching an openclaw competitor :) 'Dispatch' lets you text claude to do work for you while you're away, claude spins up agents to do it all. - just instruct agents to complete a task and come home to finished work - also launched persistent memory so claude keeps context across multiple tasks this turns your phone into a personal ai computer very cool
Felix Rieseberg@felixrieseberg

We're shipping a new feature in Claude Cowork as a research preview that I'm excited about: Dispatch! One persistent conversation with Claude that runs on your computer. Message it from your phone. Come back to finished work. To try it out, download Claude Desktop, then pair your phone.

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Wise
Wise@trikcode·
The tech stack of most startups: - Frontend: React (because everyone uses React) - Backend: Whatever the CTO knew from his last job - Database: Postgres (or Mongo if someone watched a YouTube tutorial) - Auth: Copied from a blog post - Payments: Stripe (obviously) - Deployment: "It works on my machine" - Documentation: LOL - Tests: "We'll add those later" Valued at $10 million.
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