Superlinear: Podcast and Blog for Builders Using Coding Agents

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Superlinear is a podcast and blog platform designed for engineers building with coding agents. It covers emerging practices, runtime architectures, and performance optimisations for persistent AI workflows.

Key points

  1. Focus on emerging development practices and practical architectures for AI coding agents.
  2. Techniques for persistent workflows using Pi Durable and Cloudflare Durable Objects to decouple state from runtime processes.
  3. Speeding up agent feedback loops using tools like Crabbox, Oxlint, and parallel verification to offload builds and tests.
  4. Agent architecture patterns across tools like Hermes, OpenClaw, and Pi, highlighting sandboxing requirements per user.
  5. Formal verification workflows for code generated by coding agents using Bend2.

Why it matters

As development workflows increasingly incorporate autonomous coding agents, developers face issues around crash recovery, slow tool execution loops, and code correctness. Superlinear documents emerging technical solutions to these problems.

Analysis

The resource targets practitioners by discussing technical details and specific tooling. Topics cover production concerns such as state persistence across restarts, test execution offloading, sandbox isolation, and formal proof verification for generated code.

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 October 2026). It may contain errors – the original source is authoritative.

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Locations

  • Mattersburg
    Johann Nepomuk Bergerstraße 7/2/14
    7210 Mattersburg, Austria
  • Vienna
    Ungargasse 64-66/3/404
    1030 Wien, Austria

Parts of this content were created with the assistance of AI.