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GitHub
GitHub@github·
Single-prompt AI workflows often hit a performance plateau. Multi-agent systems can push past it, but they usually require a massive amount of setup. Squad, an open source project built on GitHub Copilot, initializes a preconfigured AI team directly inside your repo. Learn how to run multi-agent workflows that stay inspectable, predictable, and collaborative. github.blog/ai-and-ml/gith…
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Pratyush
Pratyush@dpratyush02·
@github multi-agent isn’t the problem the setup overhead is blackbox already solved a big part of that
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Anant Shah
Anant Shah@anantshah133·
@github I am using blackbox ai's multi agent mode lately and I can say its best so far like my productivity is increased by almost 50% tbh after using it...
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Abhi
Abhi@AbhiCodes15·
@github Multi-agent workflows are powerful, but the setup is the real bottleneck, tools like Blackbox AI already solved a big part of that.
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Aman 🧋
Aman 🧋@CodeWithAmann·
@github yeah the real bottleneck was never the idea it was the setup overhead blackbox ai claudex kinda removes that friction
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黄月英
黄月英@ncq_syh·
@github The demo is impressive! I have one question: How are the squad members' models decided?
黄月英 tweet media
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Sourabh Gurwani
Sourabh Gurwani@SourabhGurwani·
@github Blackbox AI already solved this. Multi-agent (Claude + Codex) out of the box ..no setup, just ship👀😄
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Karim C
Karim C@BrandGrowthOS·
@github the setup problem is real. multi-agent workflows get complex fast with orchestration. curious how squad handles agent coordination - predefined roles or does it adapt team structure based on the task?
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MacGuffin
MacGuffin@MacGuffin_Tech·
@github Setup is easier now, cool. But we all know the real nightmare starts when agents have to collaborate for more than a few turns. Squad solves the marketing part. The actual intelligent coordination problem is still wide open.
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Shah💤aman
Shah💤aman@Shahahahzaman·
@github Multi-agent isn’t the problem; the setup overhead is already a black box and has been solved for a long time.
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Umesh Chawrasiya
Umesh Chawrasiya@umeshchw·
@github yeah the real bottleneck was never the idea it was the setup overhead blackbox ai claudex kinda removes that friction
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Somi AI
Somi AI@somi_ai·
@github setup is one thing but how does it handle agents stepping on each other's work? that's usually where multi-agent coding breaks down
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Robert Hu 🦉
Robert Hu 🦉@theroberthu·
@github the setup cost is where most teams quit before they even see what multi-agent can actually do
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Tin
Tin@10xtin·
@github Why is Copilot so hella slow? I'd really like to use it but it feels unusable
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Utkarsh Singh
Utkarsh Singh@Utkarsh51557661·
@github multi-agent systems sound cool, but the setup can kill momentum. open source is the spark though. curious about the impact.
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Sakshi Sugandhi
Sakshi Sugandhi@SakshiSugandhi·
@github Been trying Claudex inside Blackbox and honestly it feels like a different workflow altogether.
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Neon Dev
Neon Dev@neon_time·
@github You did wrong by removing most of the models from GitHub student pack 🙃
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Coding is in a FLUX | AIコーディング
@github Squadのようにリポジトリ内で直接マルチエージェントチームを初期化できる設計は実践的ですね。セットアップコストが高いのがマルチエージェントの課題だったので、それを解消しているのは良い方向です。
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