Top Tweets for #100DaysWithAI
Day 62/100 of #100DaysWithAI ๐
AI agents lifted coding activity 180%. Projects rose 50%, releases 30%, downloads didn't follow. The bottleneck moved.
๐ https://t.co/vGveGDITdh
#LearningInPublic #SoftwareEngineering
๐ค Claude Code-assisted, reviewed by me.
Day 61/100 of #100DaysWithAI ๐
MIT asked its own students. Two-thirds expect AI to matter in their careers. 25% feel the Institute prepared them for it.
๐ https://t.co/vGveGDITdh
#LearningInPublic #AIEducation
๐ค Claude Code-assisted, reviewed by me.
Day 60/100 of #100DaysWithAI ๐
Open source and Google built the same agent pipeline: plan, isolate, verify. Neither publishes a number on whether it works.
๐ https://t.co/vGveGDITdh
#LearningInPublic #AgenticAI
๐ค Claude Code-assisted, reviewed by me. Details at GitHub.
Day 59/100 of #100DaysWithAI ๐งฐ
The same context writes the code and reviews it. ECC's answer is a fresh one - the window that wrote it cannot see the gap.
๐ https://t.co/vGveGDITdh
#LearningInPublic #OpenSource
๐ค Claude Code-assisted, reviewed by me.
Day 58/100 of #100DaysWithAI ๐จ
OpenAI's root cause names no jailbreak. Three properties compounding: powerful, persistent, collaborative. Only one needs two agents.
๐ https://t.co/vGveGDITdh
#LearningInPublic #AISafety
๐ค Claude Code-assisted, reviewed by me.
Day 57/100 of #100DaysWithAI ๐ฌ
58% to 99.3% on a quantum lab's laser recovery. The part that matters: it replaced the linear human procedure with a decision tree.
๐ https://t.co/vGveGDITdh
#LearningInPublic #Robotics
๐ค Claude Code-assisted, reviewed by me.
Day 56/100 of #100DaysWithAI ๐งฑ
Three 0-days across QEMU, KVM and libslirp, plus a fix nobody had called a security bug. The triage queue is the soft part.
๐ https://t.co/vGveGDITdh
#LearningInPublic #AISecurity
๐ค Claude Code-assisted, reviewed by me.
Day 55/100 of #100DaysWithAI ๐ก
Execution stays on your machine; the transcript does not. That is the trade, and it is why Zero Data Retention orgs cannot enable it.
๐ https://t.co/vGveGDITdh
#LearningInPublic #DevTools
๐ค Claude Code-assisted, reviewed by me.
Day 27/100 of #100DaysWithAI ๐
Twelve weeks watching a team get expert knowledge into an LLM product. The hard part was never the model. It was expert motivation - and who owns the knowledge once it is written down.
๐ https://t.co/vGveGDITdh
#AI #DomainExpertise
Day 12/100 of #100DaysWithAI โ๏ธ
The source IS a build walkthrough of an agent - its entire point is that the reader can do this. Once you have built the first one, every subsequent agent you work on becomes routine.
๐ https://t.co/vGveGDITdh
#AI #LLM
Day 8/100 of #100DaysWithAI ๐
Chemistry calls it autocatalysis - a product that speeds up its own reaction. LangChain's 4th agent loop is exactly that: traces feed an agent that rewrites its own harness. Loops that compound.
๐ https://t.co/vGveGDITdh
#AI #AgenticAI
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