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commonware
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commonware
@commonwarexyz
commonware.xyz
Joined July 2024
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  • Pinned
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    commonware
    @commonwarexyz
    Nov 7, 2025
    user avatar
    patrickogrady.xyz
    commonware
    @_patrickogrady
    Nov 7, 2025
    Welcome, @tempo Today, we're thrilled to share that Tempo is building with the @commonwarexyz Library, supporting our growth as a new core contributor, and accelerating our research and engineering with a strategic investment. commonware.xyz/blogs/welcome-…
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  • commonware reposted
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    Nunchi
    @nunchi
    Jun 29
    Introducing Nunchi SDK. A modular framework for building application-specific financial chains. Powered by @commonwarexyz primitives. github.com/nunchi-labs/sdk
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  • commonware reposted
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    Jeff Schroeder
    @SEJeff
    Jun 24
    We really love working with @_patrickogrady and the whole commonware team. Absolute chads, all of them 🫶
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    asymmetric research
    @asymmetric_re
    Jun 24
    Fuzzing @commonwarexyz isn't a pile of one-off harnesses. It's engineered: deterministic runtime, controlled randomness, reviewable fuzz targets, reproducible crashes, promoted regressions. The result: 60+ bugs found across its primitives, 90 targets running 24/7. Full post ↓
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  • user avatar
    commonware
    @commonwarexyz
    Jun 24
    user avatar
    asymmetric research
    @asymmetric_re
    Jun 24
    Fuzzing @commonwarexyz isn't a pile of one-off harnesses. It's engineered: deterministic runtime, controlled randomness, reviewable fuzz targets, reproducible crashes, promoted regressions. The result: 60+ bugs found across its primitives, 90 targets running 24/7. Full post ↓
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  • commonware reposted
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    patrickogrady.xyz
    commonware
    @_patrickogrady
    Jun 24
    To support targeted manipulation of @commonwarexyz's deterministic runtime, we built FuzzRng with @asymmetric_re TL;DR tweak task ordering by flipping input bits
    user avatar
    asymmetric research
    @asymmetric_re
    Jun 24
    Fuzzing @commonwarexyz isn't a pile of one-off harnesses. It's engineered: deterministic runtime, controlled randomness, reviewable fuzz targets, reproducible crashes, promoted regressions. The result: 60+ bugs found across its primitives, 90 targets running 24/7. Full post ↓
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  • commonware reposted
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    asymmetric research
    @asymmetric_re
    Jun 24
    Replying to @asymmetric_re
    Under the Hood: Engineering Commonware Fuzzing
    From blog.asymmetric.re
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  • commonware reposted
    user avatar
    asymmetric research
    @asymmetric_re
    Jun 24
    Fuzzing @commonwarexyz isn't a pile of one-off harnesses. It's engineered: deterministic runtime, controlled randomness, reviewable fuzz targets, reproducible crashes, promoted regressions. The result: 60+ bugs found across its primitives, 90 targets running 24/7. Full post ↓
    Made with AI
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  • commonware reposted
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    Max Resnick
    Anza
    @MaxResnick
    Jun 17
    The latest generation of LLMs + @commonwarexyz primatives have greatly accelerated the pace at which we can go from design to testing!
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    patrickogrady.xyz
    commonware
    @_patrickogrady
    Jun 17
    Since the start, its been a dream of ours to accelerate systems research with the @commonwarexyz Library. Stoked to see @GScaffino, @jneu_net, and @MaxResnick find a use for 10+ primitives in their new Gatling prototype (~200ms e2e tx latency 🤯):
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  • commonware reposted
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    Joachim Neu
    a16z crypto
    @jneu_net
    Jun 17
    The @commonwarexyz code base has been a great resource (and accelerant) for this project indeed!
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    patrickogrady.xyz
    commonware
    @_patrickogrady
    Jun 17
    Since the start, its been a dream of ours to accelerate systems research with the @commonwarexyz Library. Stoked to see @GScaffino, @jneu_net, and @MaxResnick find a use for 10+ primitives in their new Gatling prototype (~200ms e2e tx latency 🤯):
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  • commonware reposted
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    Giulia Scaffino
    @GScaffino
    Jun 17
    Replying to @GScaffino
    10/ Want the full story? 📄 Read the paper: arxiv.org/abs/2606.18220 💻 Check out our Gatling prototype at: github.com/scaffino/Gatli…
    arXiv logo
    arxiv.org
    Gatling: Rapid-Fire Consensus from Parallel Composition
    Consensus protocols form the core of blockchains and other replicated state machines, ensuring that all correct nodes process the same totally ordered log of input transactions. In fault-free...
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  • commonware reposted
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    Giulia Scaffino
    @GScaffino
    Jun 17
    Replying to @GScaffino
    9/ The catch is head-of-line blocking: if one instance stalls (crashed leader), it holds up the merged log. So there's an optimal K, which we derive in closed form. More reliable validator set → more barrels you can run.
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  • commonware reposted
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    Giulia Scaffino
    @GScaffino
    Jun 17
    Replying to @GScaffino
    8/ Key point: extreme protocol-level optimization is not needed for ultra-low latency. Parallel composition of a simple, slow component protocol beats highly-tuned single-instance designs. Gatling stays compatible with pipelined / fast-path tricks layered inside the components.
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  • commonware reposted
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    Giulia Scaffino
    @GScaffino
    Jun 17
    Replying to @GScaffino
    7/ We built Gatling from the production Simplex deployment by @commonwarexyz @_patrickogrady with a deliberately unoptimized 500ms per-instance block time, on a global cluster. Result: 214ms end-to-end transaction latency and 10ms inter-proposal time. Rotating leaders every 10ms.
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  • commonware reposted
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    Giulia Scaffino
    @GScaffino
    Jun 17
    Replying to @GScaffino
    6/
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