My friend applied to 250 tech jobs in two years. No MIT. No Stanford.
Last month Anthropic offered him $750,000.
I asked him how he broke in from zero.
He sent me the exact video that got him in. Anthropic's 2-hour course on how to become an AI engineer in 2026.
Thariq Shihipar shows you exactly how to build AI agents from scratch.
I watched it last night.
Halfway through, I realized I could break into an AI lab in months, not years.
Bookmark this and read the article below.
• 00:00 - AI agent harness
• 23:44 - building AI agent loops
• 56:39 - AI agent context engineering
• 1:33:34 - AI agent deterministic hooks
• 1:50:31 - Anthropic SWE interview process
THE CEO OF OBSIDIAN JUST OPEN-SOURCED THE CLAUDE CODE SKILLS HE WAS USING PRIVATELY IN HIS OWN VAULT. 40,000 STARS IN A FEW WEEKS
5 skills. 1 MIT license. 0 pitches
kepano - the founder who wrote the "File over app" essay - dropped a set of Agent Skills that teach Claude Code to read and write Obsidian files the way a human expert would. Markdown that respects wikilinks. Bases queries Claude actually writes correctly
JSON Canvas edits that don't corrupt the file. A defuddle skill that strips ads and boilerplate off any URL and drops a clean note into your vault. He built them for himself, tested them in his own workflow, then pushed the folder to GitHub
every skill is one SKILL.md file. Drop the repo into .claude/skills/ and Claude Code picks them up automatically. No plugin store. No account. No cloud. Same idea that made Obsidian: your notes are files on your disk, the app is disposable, and the AI just learned to speak the format
the essay was called "File over app". The workflow is now file over agent
MIT-licensed. Shipped in his own name
no vendor lock. no subscription. no cloud memory. no walled garden. no pitch to raise a round
you're reading this on a device that could clone the repo, drop it into your vault, and have Claude Code editing your notes correctly before your next standup
Ex google engineer acaba de soltar un curso completo de 1 hora para construir agentes de IA que se mejoran solos, desde cero:
00:00 – Cómo nace un agente que se construye a sí mismo
03:01 – soul.md: el archivo que lo controla todo
30:16 – RAG inteligente: solo traes 20 mensajes relevantes, no los 2.000
31:48 – El loop que sabe cuándo parar solo
35:14 – Detectar el error y arreglar el prompt en el momento
50:22 – Cómo Claude comprime y optimiza tu memoria automáticamente
1 hora de contenido práctico que vale más que la mayoría de cursos de pago sobre agentes.
Míralo completo, guárdalo📚
Andrej Karpathy just dropped a 6-hour course on how to build LLMs from scratch:
• 00:00 - Deep dive into LLMs like ChatGPT
• 03:31:23 - Building ChatGPT from scratch in live
• 05:27:43 - How to use LLMs (Karpathy method)
This course will replace a $90K Stanford LLM master’s degree.
Start watching today, then read how to become an AI engineer in article below.