Mastering AI Engineering: Lessons from Andrej Karpathy's Blog
7/19/2026, 1:04:49 AM · Source
A structured guide to analyzing, digesting, and practicing the forward-looking AI engineering paradigms and digital philosophies shared by Andrej Karpathy.
Andrej Karpathy's Blog
This page compiles the complete list of essays and articles written by Andrej Karpathy on his personal blog. The posts span a diverse range of topics, including deep dives into large language models (LLMs), personal productivity workflows, software engineering paradigms, and reflections on technology diffusion.
2026
- 30 Apr, 2026 — Sequoia Ascent 2026 summary
2025
- 19 Dec, 2025 — 2025 LLM Year in Review
- 18 Dec, 2025 — Chemical hygiene
- 10 Dec, 2025 — Auto-grading decade-old Hacker News discussions with hindsight
- 29 Nov, 2025 — The space of minds
- 17 Nov, 2025 — Verifiability
- 01 Oct, 2025 — Animals vs Ghosts
- 27 Apr, 2025 — Vibe coding MenuGen
- 07 Apr, 2025 — Power to the people: How LLMs flip the script on technology diffusion
- 24 Mar, 2025 — Finding the Best Sleep Tracker
- 19 Mar, 2025 — The append-and-review note
- 17 Mar, 2025 — Digital hygiene
2024
- 08 Sep, 2024 — I love calculator
Key Takeaways
Reviewing the archive reveals several core themes in Karpathy's recent writing:
- AI and LLM Evolution: In-depth industry synthesis, such as the 2025 LLM Year in Review and thoughts on emergent development practices like Vibe coding.
- Systems and Hygiene: A recurring focus on optimizing personal and professional environments, spanning Digital hygiene, Chemical hygiene, and productivity methods like The append-and-review note.
- Societal Impact: Observations on how artificial intelligence alters how technology spreads and who can build it (Power to the people).
For the original chronological feed, visit the Karpathy Bear Blog.
Learning map
Stage 1: The AI Paradigm Shift
- Power to the People: Understand how LLMs democratize software creation, flipping the script on technology diffusion.
- The Space of Minds: Learn to map and conceptualize biological vs. synthetic intelligence structures.
Stage 2: Engineering & Vibe Coding
- Vibe Coding: Shift from writing code to acting as a system director, orchestrating LLMs to generate and iterate on applications.
- Verifiability: Master code verification and automated evaluation techniques, which are becoming more critical than manual authoring.
Stage 3: Operational & Digital Hygiene
- Digital & Chemical Hygiene: Build structural guardrails in your life and environments to maintain focus amid cognitive automation.
- Append-and-Review Notes: Optimize personal note-taking systems to complement rapid learning in the LLM era.
Get hands-on — step by step
- Execute a Vibe Coding Project: Open an AI-first IDE (like Cursor) or use a modern frontier LLM. Build a lightweight single-page web app (such as a custom calculator or note organizer) solely through prompt-driven generation. Do not write a single line of manual code.
- Implement an Auto-Evaluation Pipeline: Write a Python script using an LLM API to evaluate historical forum comments or datasets. Practice designing evaluation metrics to verify LLM performance objectively.
- Build an Append-and-Review Workflow: Create a single text file and practice a daily append system for your thoughts and code snippets. At the end of the week, write a script or prompt to summarize, cluster, and clean your raw inputs.
Top 3 sources
- 1Andrej Karpathy's Personal Blog
The official blog hosting essays on LLM retrospectives, modern coding paradigms like Vibe Coding, and digital productivity.
https://karpathy.bearblog.dev/blog/
- 2Andrej Karpathy's YouTube Channel
One of the best free educational resources for building and training neural networks and LLMs from scratch.
https://www.youtube.com/@AndrejKarpathy
- 3Andrej's GitHub Repositories
A collection of highly clean, educational, and minimalist codebases including nanoGPT and llm.c.
https://github.com/karpathy
Links are AI-suggested — worth a quick sanity check before diving in.