This week, I learned:
IITM has launched a 4 year degree in management & data science. “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 Observability is more than logging. It’s agents watching feeds and signalling insights! The GPT 5.4 prompt guidance is a bit complex, but here’s what it’s broadly saying: (Gemini) 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. 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. On the margin, I’ll likely switch to just as my task runner. Claude 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. Salt is the duct tape of food ingredients. Lemon juice, vinegar, butter/oil, onion/garlic, etc. are runners-up. Claude Claude’s prompt to import memory from other AI providers doesn’t seem to work with Claude’s free account: “No memories or stored context found.”
