codila (@0xCodila)

Google just released 1-hour workshop on "Graph Engineering" for agentic systems from 0% to 100%: "loop agent is getting deprecated soon, so I’m going to focus on graph workflows" 0% → 8:01 - build your first agent from scratch 30% → 24:14 - Prompt engineering 55% → 44:48 - Graphs: kill the tree, d...

Andrew Ng just dropped 1-hour course on full agent engineering with Claude Code: 1 prompt → agents team → graphs from 0% to 100%: 10% → 10:45 - build your first agent in Claude Code 20% → 16:24 - Graphs: Claude Code for subagents 55% → 33:15 - agent for grunt work on a cheaper model 80% → 43:58 - ...

Google just released free 30-min course on 5 AI Agent Design Patterns: Sequential → Parallel → Router → Loop → Graph from 0% to 100%: 10% → 5:32 - Sequential: start from scratch 35% → 9:26 - Parallel: all at once 50% → 12:58 - Router: pick the path 70% → 14:37 - Loop: retry till right 100% → 20:48 ...

Andrew Ng just released 2-hour course on 100% Graph engineering: 1 prompt → 100 agents → loops → graphs from scratch: 10% → 9:14 - build your first agent from scratch 30% → 33:11 - Loop engineering 55% → 1:02:46 - Graph engineering 75% → 1:30:15 - agents that rewrite themselves 100% → 1:49:05 - ful...

Ex-Google Jeff Dean: "Prompting and one agent won't be enough in 6 months. Loops and Graphs with teams of agents are replacing them" This is 27 years of AI inside Google compressed into one hour workshop, by the person who lived it. He describes agents that run 50 experiments, keep 10, and impro...

Google just released free 2-hour course on full Graph engineering: 1 prompt → agent teams → loops → graphs from 0% to 100%: 10% → 10:16 - build your first agent 40% → 41:05 - Prompt engineering 50% → 54:45 - Graph engineering 75% → 1:20:10 - Loop engineering (with graphs) 100% → 1:43:33 - the graph...

Ex-Google Jeff Dean just released 1-hour lecture on full AI engineering: LLM → prompts → agent teams → graphs from 0% to 100%: 0% → 1:45 - LLM from scratch - that made Google 30% → 17:22 - how to actually use AI models 65% → 30:03 - prompt engineering 100% → 52:35 - one human coordinating 100 agent...

Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch: they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question the input dropped from 108,000 tokens to 11 here's how: step 1 → order matters: tools first, then system prompt, then you...

Anthropic Engineer: "The biggest mistake in AI right now - people are building graphs and loops without self-improving eval agent We made that mistake at Anthropic - It cost us 2 years" here's how he build it, step by step: step 1 → take 50 real user prompts - run your agent - if it passes 80%+,...