Day 60/100 of #100DaysWithAI 📏

Open source and Google built the same agent pipeline: plan, isolate, verify. Neither publishes one number on whether it works.

🔗 https://github.com/aurimas13/100-Days-With-AI

#LearningInPublic #AgenticAI

🤝 Claude Code-assisted, reviewed by me.

to stay consistent and keep going

#LearningInPublic #BuildingInPublic

Day 59/100 of #100DaysWithAI 🧰

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.

🔗 https://github.com/aurimas13/100-Days-With-AI

#LearningInPublic #OpenSource

🤝 Claude Code-assisted, reviewed by me.

actually need to write

#LearningInPublic #BuildingInPublic

Day 58/100 of #100DaysWithAI 🚨

OpenAI's root cause names no jailbreak. Three properties compounding: powerful, persistent, collaborative. Only one needs two agents.

🔗 https://github.com/aurimas13/100-Days-With-AI

#LearningInPublic #AISafety

🤝 Claude Code-assisted, reviewed by me.

Day 9 #100DaysOfCode #FullStackAndDSA
- learnt about conditional statements: if, if-else, else if, nested if, and switch
- wrote programs to demonstrate each.

- key takeaway:
- if-else --> simple true/false decisions
- witch --> multiple specific values to check

#LearningInPublic #BuildingInPublic

Day 57/100 of #100DaysWithAI 🔬

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.

🔗 https://github.com/aurimas13/100-Days-With-AI

#LearningInPublic #Robotics

🤝 Claude Code-assisted, reviewed by me.

Day 54/100 of #100DaysWithAI 🛡️

A zero in Anthropic's own benchmark table is not a failure. It marks where the safeguards fired - the price of caution, published.

🔗 https://github.com/aurimas13/100-Days-With-AI

#LearningInPublic #AIEvals

🤝 Claude Code-assisted, reviewed by me.