Andrej Karpathy: "90% of what AI twitter tells you to learn will be dead in 6 months" Here are 10 things senior AI engineers stopped wasting time on: 1. AutoGen / AG2: moved to community maintenance, releases stalled. dead for production 2. CrewAI: demos well, breaks in production. engineers building real systems already moved off it 3. Autonomous agent pitches: the AutoGPT / BabyAGI wave is dead in product form. the industry settled on supervised, bounded, evaluated agents 4. Agent app stores / marketplaces: promised since 2023, zero enterprise traction 5. SWE-bench leaderboard chasing: researchers proved nearly every public benchmark can be gamed without solving the underlying task 6. Microsoft Semantic Kernel: unless you're locked into Microsoft enterprise stack, it's not where the ecosystem is heading 7. DSPy: philosophical merit, niche audience. not a general agent framework 8. Horizontal "build any agent" platforms: Google Agentspace, AWS Bedrock Agents, Copilot Studio. confusing, slow-shipping, the math still favors building yourself 9. Per-seat SaaS pricing for agent products: market moved to outcome-based. per-seat is already dead 10. The framework that went viral on HN this week: wait 6 months. if it still matters, it'll be obvious what actually compounds instead: - context engineering - tool design - orchestrator-subagent pattern - eval discipline - the harness mindset (harness > model, always) - MCP as the protocol layer be few steps ahead than your competitors and outperform this market till it became mass-opinion study this.

Someone turned Claude into an entire company. 42 skills, organised like a real org chart (links below): Here is every department, and where to get each one. Developers Superpowers → Context7 → Skill Creator → MCP Builder → Webapp Testing → Claude-Mem → Designers UI UX Pro Max → Taste → Frontend Design → Transitions → Web Artifacts → Brand Guidelines → Marketing 45 skills to run your marketing, from copywriting to SEO to lead magnets. Access them all here → Social Media 17 skills to run your social media, from post writing to Reels to thumbnails. Access them all here → Finance 8 skills to run your finances, from statements to reconciliation to audits. Access them all here → Small Business 31 skills to run your small business, from cash flow to payroll to invoicing. Access them all here → Legal 9 skills to handle your legal work, from contract review to NDAs to compliance. Access them all here → Every skill on the chart is real and installable from the links above. Same departments. Same output. No payroll. Bookmark this.

10 tips to cut your Claude Code token usage by 50% 1. Auto-context loading 50 files for a 30-line fix: $1.20/turn for tokens you'll never read. 80% input waste, every session 2. Running Opus on lint, format, and rename tasks: $0.60 for what Haiku nails at $0.02. 30x overpay on the cleanup tier 3. Tool call loops that re-send the full repo on every retry: 5x context cost per agentic flow. fixing these alone cuts 30-50% of bills 4. Sonnet as the default model: Kimi 2.6 matches its quality on most coding tasks at 1/6 the cost. defaulting to Sonnet in 2026 is leaving 60-70% on the table 5. Streaming responses on stable-prefix workflows: kills your prompt cache. you pay 10x for tokens that should have cost cents 6. "Just in case" file includes: 80,000-token prompts that should be 3,000. context bloat is the silent budget killer 7. Per-session knowledge rebuilding: 10 min writing a SKILL.md once vs paying agents to re-figure out your environment every run. $4 vs $0.30 per execution 8. Single-model setups: premium tier on every task is the most expensive mistake in AI coding right now 9. Asking 10 small questions one at a time: 10 separate input prefix charges vs one batched call. 70-90% savings on routine workflows 10. Buying Claude Pro + ChatGPT Plus + Cursor Pro: you seriously use one. the other two are habit, not utility what actually compounds instead: - context discipline (grep before fetching, always) - prompt caching on every stable prefix - multi-model routing (Kimi 2.6 default, Opus for the 10%) - graduated skills via SKILL.md files - profiling tool calls before optimizing prompts - the routing mindset (right model for right task) in 12 months, the gap between developers shipping on $200/month and $4,000/month budgets won't be skill it'll be how well they route bookmark this.

Holy sh*t, developers are going to lose their minds over this. A Netflix engineer just open-sourced a tool that cuts your Claude API costs by up to 95%. → Intelligently shrinks logs, JSON, and code → Perfectly preserves logic accuracy → Keeps 100% of your data local → Stops Opus-tier models from wasting tokens on boilerplate It already crossed 56K stars, which says a lot. 100% free and open-source. repo in 🧵↓

A senior Google engineer dropped a 424-page doc on agentic design patterns. 424 pages. Most engineers bookmarked it and never opened it again. I read the whole thing. Here are the 15 patterns that actually matter — explained in plain English, with exactly when to use each one ↓

Anthropic engineer: "You're not supposed to prompt Claude. You're supposed to build a system that prompts itself." Loops. Most builders are doing this wrong: No memory file, so every loop starts from zero. No sub-agent split, so one agent tries to do everything. No stop condition, so loops run forever and bill you in your sleep. Most builders are missing at least two of the three. Watch the video first. Then read this - everything you need to know about Loops in 2026, in one place. Bookmark this before it gets buried.

Google's CEO: "Any solo developer with Claude can now outcompete a 10-person Google team." He's right. But 90% of developers using Claude daily are starting from zero every session. No stack context. No memory. No behavior rules. Claude is smart. But without a proper system prompt it's like hiring a genius with amnesia. Every. Single. Session. $975 wasted per developer every week on context rebuilding alone. The fix is not a better model. It is these copy-paste system prompts that turn Claude into an expert before you type your first message. Full list below ↓ Bookmark this. Use it today.

Jensen Huang, CEO of Nvidia: "Every engineer is going to have and manage hundreds of agents." The most valuable engineering skill of 2026 is not taught in any university. No CS program teaches harness engineering. No bootcamp teaches agent memory architecture. No degree prepares you to build systems that survive production. One builder mapped the entire thing out — free, step by step, no degree required. This is the roadmap ↓ Bookmark this for the weekend.

Andrej Karpathy's advice for beginners getting into AI: "Put in 10,000 hours of work." He's right. But most builders waste the first 1,000 hours on the wrong things. They write code before understanding context windows. They build agents before understanding token limits. They ship products before understanding what models can't do. The builders who compound fastest aren't the ones who code the most. They're the ones who understood the fundamentals before touching a single line. These are the 10 concepts that make the first 1,000 hours count ↓ Bookmark this before you start.

🚨 CEO of Nvidia: "I'd hire the graduate who's expert in AI over the one who isn't. Every time" and he's not talking about people who use AI everyone uses AI. he's talking about people who know the stack. agents. frameworks. tools. workflows. skills. automations Bookmark it.

Anthropic just paid millions to hire Andrej Karpathy. He gave you the same knowledge for $0 the same week. Co-founder of OpenAI. Former head of AI at Tesla. The man who coined vibe coding. No recruitment fee. No exclusive access. Just a link and 29 minutes. LLMs are ghosts not animals. Vibe coding is dead. Software 3.0 is here. Watch it. Then read this. Because Karpathy tells you what Software 3.0 is. This shows you how to build one - a software factory with Claude Code that ships features while you sleep. The full build guide is below.

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." this is your sign to start learning about AI, agents, automations

18-year-old American found a roofing company on Google Maps with 4.9 stars and no website, copied their reviews and pasted them into ChatGPT 5.5. 2 minutes later - a complete brief. Pasted it into AI and just waited while the system built a full website with all pages, reviews and a booking button. Called the owner and showed him the live preview. He said yes immediately because he'd been meaning to fix this for years and never had the time. Invoice for $1,000. 47 minutes of work from the first search to a closed deal. Then he built a machine. AI pulls 200 businesses from Google Maps in 10 minutes, writes a personalized email for each one with their real business data - 500 emails a day, 3% respond. Month one - $4,000, month six - $15,000-20,000. Five million businesses on Google Maps are still waiting for that call.