This is just the beginning for Maharashtra. More challenging times are ahead. I predicted this two months ago, hope you all remember. From the end of October, chaos in Maharashtra will get intensified, and it may become increasingly challenging for Devendra Fadnavis to handle it with ease. #ArtOfPrediction
I am focused more on building than Leetcode now. Opportunity cost is too high in age of AI. Better to build a lot and join companies which have similar interview processes than LC grind. Chances are with build-first mindset you will get far better work compared to alternative.
@patrickc This is good read from market, consumer perspective. If it goes the way its written - optimistically I mean world is set to change. Lots of malpractices we see from companies will be amplified in front of agents as they are objective machines.
This semester I am teaching a new course on Agentic Systems, which explores the full stack of AI systems: from building and optimizing agent harnesses to serving and optimizing LLM serving infrastructure.
Students learn by building, measuring, and optimizing real agents and systems, balancing capability, latency, and cost.
Our goal is not just to teach today's AI technologies, but to prepare students to build tomorrow's.
All lectures, readings, and assignments are publicly available at https://t.co/z69r5AwsKX
The most important coding skill: read.
Teach yourself how to read.
Read the agent output. Read the blog post. Read the paper. Read the code (if it applies to you).
Don't summarize.
this is pure f*cking treasure
Netflix engineers posted 20 GitHub repos that turn your Opus 5.5 into a f*cking motion empire:
built for Opus 5.5
1. claude-motion: taste, checks its own frames, sound written in code. the author built it for Opus 5.5
https://t.co/TtBtU2nVrN
2. claude-motion-design: HTML, Playwright and ffmpeg, no Remotion. the demo was made on Opus 5.5
https://t.co/iOsyrWUvKE
3. motion-graphics-skills: 13 skills for launch videos. the README tells you to run it on Opus 5.5
https://t.co/yNZhCZO8wT
4. claude-remotion-skill: a Remotion editor from one prompt. captions, B-roll, sound
https://t.co/immhzwVP5i
5. klik-anim-skill-creation: the laws of animation and camera, built on Opus
https://t.co/XWqUnn4v7o
6. hyperframes-motion-reel-skill: a showreel cut to the beat at 120 BPM, on HyperFrames
https://t.co/E96s10io4Q
7. product-launch-motion: a full launch film. voice-over, camera, color grade
https://t.co/VBfllJ6j1K
8. animate: a short clip in one canvas file, storyboarded as it goes
https://t.co/xafT2UPXUe
9. motion-design-skills: timing, color, typography, logos, Remotion
https://t.co/gKUqO9P2Xe
10. hyperframes-student-kit: 14 skills and 406 motion graphics cards
https://t.co/fJmzb9I5z0
the engines these skills render with
11. hyperframes: HTML to MP4. the one almost everyone installs
https://t.co/4rIffGKusx
12. remotion: video written in React
https://t.co/o5zRdBgcS0
13. remotion skills: the official Remotion skills for your agent
https://t.co/EieoL5Quaq
14. GSAP: the timelines HyperFrames runs on. skills: npx skills add greensock/gsap-skills
https://t.co/LYRTAx5wvF
taste and everything around it
15. motion-design-skill: motion principles that work with any engine
https://t.co/Vgr318UX9h
16. awesome-motion-design-agent-skills: a map of GSAP, Remotion, Lottie and Rive skills
https://t.co/hF0ZxWyjcI
17. motion-graphics: B-roll built straight from your transcript
https://t.co/Gwi9SKlS9C
18. motion-dev-animations-skill: web animation on https://t.co/V19R87wQid, not video
https://t.co/YOL7zHaCB5
19. motion: Motion itself, formerly Framer Motion
https://t.co/Jp9AReFaWe
20. lottie-web: when you need Lottie, not MP4
https://t.co/TEG0FY4vFg
the stack in one line: Opus 5.5 writes the code, a skill sets the timing and the camera, an engine renders the MP4.
check each repo before you install. save this.
These days, you can pretty much solve any task by defining an eval and hillclimbing over it, instead of directly defining the deterministic/agentic workflow to solve it.
The data provider companies' entire job is to define evals for all economic activity to make the frontier models capable of doing anything.
Your job then becomes pointing frontier intelligence in the right direction - defining what to solve, and how to measure what good looks like.
Agent application interfaces will evolve to capture this. The most complex processes will still need some sort of explicit workflow builder interface, but most tasks can be compressed into goals and eval instructions.