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GitHub
GitHub@github·
📣 @GoogleAI’s Gemini 3.5 Flash is now generally available and rolling out in GitHub Copilot. Early testing shows ➡️ It has strong tool use, fast response times, and high cache efficiency ➡️ It is it well-suited for fast, iterative agentic coding workflows Try it out in @code. ⬇️ github.blog/changelog/2026…
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Daniel Birker
Daniel Birker@DBirker78883·
Gemini 3.5 Flash's tool use + caching efficiency in Copilot is solid. The "fast, iterative agentic coding workflows" framing is right—the question is whether it maintains context quality across long sessions. Tool use calibration matters enormously for code generation. Worth testing the edge cases on refactoring complexity.
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Chua
Chua@chuachonghuan·
@github @GoogleAI @code cache efficiency sounds boring but thats the part that decides if agents become daily workflow or just demo toy. fast iteration only matters if review and rollback stay cheap
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Oscar Mayer
Oscar Mayer@oscarmayer·
The Wienie 500 is back. Tune in at 2pm ET on FOX to see who will taste victory, cook the competition, and earn the title of top dog.
Oscar Mayer tweet media
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Jason Fleagle
Jason Fleagle@jjfleagle·
@github @GoogleAI @code Fast tool use is what changes the feel of agentic coding. The model has to reason, but the workflow only works if it can iterate quickly through repo context, tool calls, tests, and human checkpoints without turning every step into latency tax.
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BruzWJ
BruzWJ@BruzWJ·
@github @GoogleAI @code whats the real cache hit rate inside agentic loops? show me that number lowkey cache efficiency on its own, not sure it tells me real cost
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LottieFiles
LottieFiles@LottieFiles·
@github @GoogleAI @code Fast tool use + cache efficiency is the real unlock for agentic loops. Latency compounds across iterations, this actually makes autonomous workflows viable.
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Bally_AgenticAI
Bally_AgenticAI@bally_kehal·
@github @GoogleAI @code Iterative agentic coding isn't a model-speed problem - it's a verification problem. The faster you generate, the faster you'll commit nonsense unless there's a self-check step between tool calls. Speed without judgment just compounds bad decisions.
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Aaryan Bansal ✗
Aaryan Bansal ✗@NotUnHackable·
@github @GoogleAI @code @github just bring back Opus for students bro. Please, if you can't do it for everyone, just let it be for anyone who signed up for it before 2026 or smth, it would be cool
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cyberswayam
cyberswayam@cyberswayam·
@github @GoogleAI @code @github help me please there's something wrong with my github account i need help. My commits are not showing and also i can't push code to github. But i can't see anything wrong with GitHub at all i can't push codes from terminal or IDE but i can with github desktop.Please help
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Business
Business@XBusiness·
Advertisers are using (and loving) the new X Ads Manager - no secret why - the results speak for themselves
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Kekko D’Amato
Kekko D’Amato@kekkodamato_·
High cache efficiency is underrated in a coding context — when you're iterating on the same codebase repeatedly, hitting cache turns repetitive context loading from a cost center into nearly free. Gemini 3.5 Flash's profile (speed + tool use + cache) is exactly right for the tight loop Copilot users run most.
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lifcc
lifcc@mylifcc·
@github @GoogleAI @code high cache efficiency is the sleeper metric. Agentic coding gets expensive less from one answer and more from repeated context replay across tool calls.
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Hüseyin Örskaya
Hüseyin Örskaya@orskyai·
@github @GoogleAI @code Fast response times don't mean a thing if the logic fails during complex agentic loops. Speed's a vanity metric when you're just hallucinating faster.
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DogSuperFoods
DogSuperFoods@DogSuperFood·
3 toxic dog foods linked to paw licking. #2 is in your pantry! 🚨
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KICHUB || High-Performance Web Designer
Gemini 3.5 Flash coming to Copilot is massive for day-to-day productivity. The speed and high cache efficiency make it absolutely perfect for fast, iterative code refactoring and multi-file tasks. Agentic workflows really need that low latency to feel seamless. Can't wait to test this out in VS Code today!
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