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This is f*cking insane. Anthropic Research Lead: "Prompting is basically over 99% of our engineers already run swarms of 300+ self-improving agents. Now everyone is moving to graphs" In just 20 minutes, she shows how graph engineering turns isolated agents into a system that improves itself One Agent → Loops → Plan Mode → Graphs → Self-Improving System Prompting was the old workflow. The graph around the model is the new one Worth more than most $1,000 agent engineering courses Bookmark and watch it today Then read the "Harness, Loops, Graphs" guide below - graphs are the last layer ↓

This is f*cking insane. Anthropic engineer: "Prompting is basically over 95% of our engineers already run self-improving loops. The next step is graphs" In just 10 minutes, she builds her whole Claude Code setup live, starting from an empty terminal Empty Terminal → Agents → Loops → Graphs → Self-Improving System Prompting was the old workflow. Engineering the system around the model is the new one Worth more than most $1,000 agent engineering courses Bookmark and watch it today Then read the "Harness, Loops, Graphs" guide below and see which layer you're on ↓

This is f*cking insane. Creator of Claude Code: "I barely write prompts anymore I write loops that keep Claude working until the tests say it's actually done" In a 1-hour podcast, Boris breaks down how Anthropic engineers run dozens of agents without babysitting a single one Prompt → Harness → Loops → Routines → Self-Improving Agents A loop doesn't make the model smarter. It makes every mistake cheap, visible and fixed before you ever see it A routine starts the loop on its own, so the work keeps going while you sleep Most people run 100 agents and get 100 confident wrong answers. The 1% add the check first Worth more than most $1,500 Claude Code courses Bookmark and watch it today Then read the full Harness, Loops and Graphs guide below ↓

This is f*cking insane. Google Cloud engineer: "I didn't bring a team or a single line of code to this stage I brought Claude, a clear goal and a way to check every step" In 26 minutes, he builds a full working app from an empty folder, live Goal → Claude → Harness → Loops → Shipped App Prompting was the old way to use Claude Giving it a workspace, a test and a plan is the new one Most people will scroll past this and keep pasting code into a chat window Worth more than most $1,000 vibe-coding courses Bookmark and watch it today Then read the full Harness, Loops and Graphs guide below ↓

This is f*cking insane. Anthropic engineer Margot van Laar: "Better prompts won't turn Claude into an employee A system that checks its own work will" In one session, she shows why 99% of people hit a ceiling with prompting, and what the top 1% build instead Prompts → Harness → Loops → Graphs A harness gives Claude the tools, memory and limits to actually do the work A loop makes it prove the result with real tests before it ever says "done" A graph splits the job across agents and only wakes you up for the one decision that can't be undone Anyone can write a better prompt. Almost nobody builds the system around it Worth more than most $1,000 Claude Code courses Bookmark and watch it today Then read the full Harness, Loops and Graphs guide below ↓

This is f*cking insane. Anthropic engineer Gagan Bhat: The real power of Claude Opus 5.5 isn't writing code. It's understanding how software actually works Most people use AI to generate new applications. This framework goes further Connect Opus 5.5 to REA through MCP, and it can investigate existing software, trace functions, analyze behavior, and build independently verified implementations Inspect → Trace → Collect Evidence → Reconstruct → Test → Verify Opus handles the investigation REA connects the analysis tools Claude Code builds the implementation Differential tests check whether it actually matches the original behavior The breakthrough isn't copying software faster. It's understanding it deeply enough to prove the rebuild works Bookmark and watch the session today Then read the full Harness Engineering guide below - verification is the whole game ↓

This is f*cking insane. Anthropic engineer: "If you want to be in the top 1% of AI engineers, stop writing prompts. Build a harness that improves itself." In 41 minutes, she explains how Anthropic builds with AI internally and why harnesses and graphs sit at the center of it Prompts → Agents → Harness → Loops → Graphs A harness makes each unit of work correct without you A graph decides which units should exist and turns every accepted result into a rule for the next run That is what "self-improving" actually means. Almost nobody builds it Worth more than most $500 agent engineering courses Bookmark and watch it today Then start with the "Your First Grok Bot" guide below and give one agent a real job ↓