Sun, Mar 8, 2026

Weekly Notes and Discoveries | S Anand

IITM has launched a 4 year degree in management & data science.

I've been using mise use -g ubi:owner/repo to install GitHub packages. The ubi backend is now deprecated in favor of the new github backend. This works fine for most repos, with edge cases like jtroo/kanata which still require ubi:jtroo/kanata as of now. #github

On the margin, I'll likely switch to just as my task runner. Claude #future #github #markdown

"Use AI to replace early-career mentorship: use AI-driven synthetic practice when traditional apprenticeship pathways collapse. AI can generate personalized coaching, replacing the missing junior loop with training environments." Jack Clark #ai-coding #automation #future #prompt-engineering

Observability is more than logging. It's agents watching feeds and signalling insights! #code-agents

The GPT 5.4 prompt guidance is a bit complex, but here's what it's broadly saying: (Gemini) #chatgpt #prompt-engineering
- It'll over-complicate answers and front-end design unless you tell it exactly how you want it
- It'll keep checking with you or give up (e.g. on errors) unless you tell it otherwise, e.g. with checklists or rules

Claude Code supports 32K output tokens by default. Since I generate large data stories, I usually hit this limit and lose an entire session. Setting the environment variable CLAUDE_CODE_MAX_OUTPUT_TOKENS=64000 (which is the maximum) reduces this problem.

Google Workspace CLI lets you run npx -y @googleworkspace/cli as a single unified service for all Google Workspace APIs. It follows agent-friendly CLI practices which I turned into a SKILL.md.

With AI now writing almost all of my code, I don't see much need to format it. Code formatters like ruff, dprint, biome, etc. are not relevant when AI will be reading and writing the code, not humans. I just format the prompts in Markdown. #ai-coding #code-agents #github #markdown