HaWkEyE.KAS

STUDY THE CHART, #KASPA. $KAS. #KASPIANS.

Anthropic just explained why their Claude agents dream I've read documentation that doesn't explain half of what they cover here memory architectures, learning between sessions, how agents stop repeating the same mistakes, how to verify what they learned all in one video and completely free based on this, I wrote down 21 rules you can paste into your project root today coding accuracy goes from 65% to 94% find it below

Boris Cherny, the creator of Claude Code at Anthropic, just explained why most people aren't getting real results from Claude in this podcast he breaks down exactly how most people never actually set up Claude: - the 14% you lose to CLAUDE.md before typing a word - the features that change how Claude thinks before you type a word - the settings 95% of users have never opened - the workflows hiding behind one toggle if you've been using Claude for more than a month and never left the chat window, you have at least 30 untouched features. probably 38 instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed my breakdown of all 40 features is below

@praveenromeo377 @Sarankumarow Adey kada 😂😂😂

@Sarankumarow Clear ga Ai ani telustundhi kadha raa

Andrej Karpathy just explained the future of software engineering without directly saying it. The best AI engineers are no longer “prompting.” They’re building systems around the agents. Karpathy’s biggest insight wasn’t: “Claude can code.” It was: LLMs become dramatically better when you force them into disciplined workflows. That’s why "CLAUDE.md" files are suddenly everywhere. Not because they’re prompts. Because they behave like an operating system for the agent. Karpathy called out the exact problems with AI coding: - models assume instead of asking - they overengineer simple tasks - they hide confusion - they rewrite unrelated code - they optimize for completion, not correctness So developers started encoding rules directly into the workflow: → Think before coding → Simplicity first → Surgical edits only → Goal-driven execution And the results are wild. People are now running multiple Claude Code agents in parallel like engineering teams: • one agent researching • one debugging • one writing tests • one optimizing code • one validating outputs Not “AI assistance.” Actual orchestration. And this part from Karpathy changes everything: “Don’t tell the model what to do. Give it success criteria and let it loop.” That is the shift. From: “write this function” To: “here’s the goal, constraints, tests, and verification system — now iterate until correct.” The craziest part? This already feels like a phase shift in engineering. A lot of developers quietly went from: 80% manual coding → to 80% agent-driven coding in just months. Not because AI became perfect. Because the leverage became impossible to ignore. We’re entering an era where the highest leverage engineers won’t necessarily be the best coders. They’ll be the people who build the best systems around AI agents.

karpathy's CLAUDE.md hit #1 on github trending. 220,000 stars. most devs still haven't read it. it's 65 lines. it took AI coding accuracy from 65% to 94%. the 4 rules inside: → think before coding state your assumptions. ask when unsure. never guess. → simplicity first write the minimum code that solves the problem. no abstractions nobody asked for. → surgical changes don't touch code unrelated to the request. every changed line must trace back to what was asked. → goal-driven execution turn vague instructions into verifiable success criteria before writing a single line. that's it. 65 lines. 4 rules. 94% accuracy. save this before everyone else does.

Andrej Karpathy spent 4 minutes in an interview explaining a single idea about how most people haven’t even started learning how to use AI and everyone paying $20/month for a subscription.. that's not really using Claude at all his point is that the real skill gap is the ability to build with AI he identified 4 behaviors that break Claude Code and put them all into one file a developer expanded it into 21 rules and published it - 82,000 stars and #1 on GitHub Trending coding accuracy jumped from 65% to 94% here's what these 21 rules actually are and why most developers using Claude every day have never configured them the full breakdown is covered in the article below 👇

As the recently expanded partnership with @AnthropicAI demonstrates, @SpaceX is offering AI compute as a service at significant scale. We are in discussions with other companies to do the same. Over time, especially with orbital data centers, we expect to serve AI at extremely high scale.

@KandyNilan35852 I’ll buy, DM

@a_synth_storie I’ll buy DM

I'm from Kurnool I have to come #SRHvsRCB match at Uppal Stadium Tomorrow! But change of plans I can't.. So, can anyone help me to buy my tickets at (MRP + 500) ? South West Terrace 1 (2 tickets) Each 4500rs only (MRP 4000+500 Extra) 🎟️ #IPL #RCB #SRH #IPLTicketsSale

@VenkatRama2960 Need

🚨RCB vs SRH at Uppal 🚨 🔥 AirAsia East Stand First Floor Tickets 👑 Kohli Coming Hyderabad 🎟️ 4 Tickets Available Together ⚡ High Demand Match 📩 DM Fast Before Sold Out H2H transfer #srhvsrcb #viratkohli #cskvssrh #rcbtickets #rcbfans #orangearmy #srhfans #uppal #dhoni

This is the best site on the internet to learn harness engineering walkinglabs.github.io/learn-harness-…

Anthropic's Head of Product just dropped a 28-minute masterclass on agent production. Prompt caching. Tool search. Programmatic tool calling. Compaction. Advisor strategy. 28 minutes. Free. Worth more than 100 YouTube videos combined. Watch it first. Then read this. The masterclass teaches you how agents work. This teaches you what to build with them — a 5-agent content pipeline that does the work of a $300K creative team. Full pipeline below ↓ Bookmark this. Start this weekend.

Claude Code feels completely different once you install this. Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment. It scans your project and recommends: → hooks → skills → MCP servers → subagents → automations Then sets everything up step-by-step for you. Most people are using Claude Code completely vanilla… which is why their experience feels messy. The real power comes from the ecosystem around it. Install: /plugin install claude-code-setup@claude-plugins-official Bookmark this before you forget it.

@Patnam32259 I’ll buy both

2 tickets available shree cement west stand first floor .direct meet only dm me #srhvsrcb #rcbvssrh

@cop24497 Will buy ASAP

4 tickets available for SRH vs RCB match Air asia west stand first floor If any one want dm me urgently Ticket price- 4500 Selling price - 3800 These are extra tickets Genuinely i will send #tataipl #srhvsrcb

A Anthropic acabou de matar o Markdown. Um engenheiro do Claude Code publicou um artigo ontem que pode decretar o início de uma nova era. A tese é brutal: Markdown nunca foi o formato certo para comunicação entre humanos e IA. Era só o que tínhamos. O próprio autor admite que nunca leu um arquivo Markdown gerado por IA com mais de 100 linhas até o fim. Você também não lê. Eu também não. A sacada: Markdown assume que você vai ler do início ao fim. HTML assume que você quer ver o que importa e mexer com as mãos. Na prática: → 30 tickets de projeto viram kanban arrastável com colunas Now / Next / Later / Cut e botão de exportar → Lógica de rate limiting vira flowchart SVG com código inline, no lugar de 200 linhas de texto → Code review vira diff colorizado com grafos de dependência entre módulos → Parâmetros de animação, cores, regex, cron jobs ganham sliders com preview ao vivo → Specs de projeto viram 6 opções lado a lado com mockups interativos Todos exemplos reais do artigo. Todos substituem um muro de texto por algo que você de fato abre e usa. O trade-off existe: HTML é 2-4x mais lento para gerar. Mas com contexto de 1 milhão de tokens, esse custo sumiu. E a parte que ninguém está discutindo: o HTML gerado não é só para humanos. O agente de verificação também lê. O spec deixou de ser documento e virou memória compartilhada entre agentes. Markdown é relatório. HTML é interface. Relatórios são para ler. Interfaces são para continuar o trabalho. Se você usa IA em 2026 e ainda pede Markdown para tudo, você pode estar usando um smartphone como lanterna.

A HUMAN INVENTED A TOOL THAT CAN BUILD A MILLION-DOLLAR COMPANY - AND IT'S FREE Vannevar Bush described this idea back in 1945 - a machine that expands the human brain to infinity, stores everything you know and connects every idea to every other one automatically. For 80 years nobody could build it. Now it's a free app on your laptop. One properly built Obsidian vault replaces an operations director, an analyst, a content strategist and a project manager simultaneously - running 24 hours a day with no days off, no salary and no Slack messages asking for clarification. The people who figured this out first are already running $15,000-$20,000/month businesses completely alone, no team, no office, no investors. The limits of this tool are the limits of your thinking. And judging by what the best users are doing with it - there are no limits.

We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.

Scam Altman and Greg Stockman stole a charity. Full stop. Greg got tens of billions of stock for himself and Scam got dozens of OpenAI side deals with a piece of the action for himself, Y Combinator style. After this lawsuit, Scam will also be awarded tens of billions in stock directly. The fundamental question is simply this: Do you want to set legal precedent in the United States that it is ok to loot a charity? If so, you undermine all charitable giving in the United States forever. I could have started OpenAI as a for-profit corporation. Instead, I started it, funded it, recruited critical talent and taught them everything I know about how to make a startup successful FOR THE PUBLIC GOOD. Then they stole the charity.

YC on how to build a company with AI from the ground up: