I just submitted Cline X-Ray to the Gemini 3 Hackathon.
It’s a post-execution inspection system for agentic coding sessions.
Instead of trusting agent summaries, it reconstructs diffs, tasks, and tool logs into structured evidence that Google Gemini can analyze.
Diff-aware agent prompting > vague explanations.
If you’re into AI tooling & LLM workflows, check it out — and if you like it, a ❤️ on Devpost helps a lot:
https://t.co/vLCt3mKQoT
#AI #LLM #Gemini #Hackathon
🚀 Cline X-Ray
Post-execution inspection for agentic coding sessions — built for Gemini 3 reasoning over real diffs, timelines, and artifacts.
👉 https://t.co/fAVw5Kzlnq
@google#GoogleGemini@Devpost#Gemini3Hackathon#AI#LLM
🧵 How LLMs like ChatGPT and Gemini work, Step by Step (Retweet so everyone can see this):
Models like GPT are designed to approximate, and are inspired by, a human, or more broadly biological, neurocognitive process known as predictive decoding. When the brain encounters external stimuli, it subconsciously tries to predict their succession, essentially asking itself what comes next.