Superlinear
Today: #127 in Technology, United Kingdom on our combined chart.
Today: #98 in Technology, Australia on our combined chart.
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Latest episodes
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Pi Durable: The Missing Piece for AI Agents That Keep Working
October 22, 2026 · 43 minAn agent that handles new GitHub issues needs to keep working through crashes, restarts, and changes in who's using it. Pi Durable gives you a foundation for building that kind of persistent workflow. The key is separating agent state…
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How to Make Coding Agents Faster: Crabbox + 3 Fixes
October 15, 2026 · 33 minYour coding agent can spend more time waiting for tests and builds than writing code. As inference gets faster, tool calls can become a larger share of the wait. Speeding up that feedback loop means examining which checks run, how they…
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How to Build AI Agents Like Dots, Instinct, Muse & Grok Bot
October 7, 2026 · 53 minHow do you build an agent like Dots, Muse, Instinct, or Grok Bot? Start high up the stack, and move down only when you need more control. YC F26-startup Agent 37 founder, Vishnu Krishnaprasad, explains when to use Hermes, OpenClaw, or Pi…
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How to Build and Verify Agent-Written Code with Bend 2
October 2, 2026 · 53 minBend2 puts code and proofs in the same language, so coding agents can write both. Tests check examples. A checked proof can establish that a specific rule holds for every allowed input. This is formal verification, an additional…
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Jev and Decision Models: A New Layer for AI Agents
September 24, 2026 · 1 hr 6 minYour coding agent does not need a frontier LLM call for every judgment. Deciding which tests to run, which skill to load, or whether a prompt needs more context can be a bounded question. Jev and other decision models return typed…
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The Fall 2026 Workflow for Starting Projects with Coding Agents
September 18, 2026 · 1 hr 17 minGPT-6 Astra and Fable 5.1 are changing how we start new software projects: Less harness engineering, less process, less prescribing. More deliberate steering on the few decisions that compound through the whole project. We walk through…
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New Model Dropped? 4 Ways to De-slop Your Project
September 11, 2026 · 47 minYour project still carries decisions made before the latest model arrived: tests for removed features, slow checks, outdated code, and instructions that keep accumulating. A new model is a useful prompt to revisit those decisions. Give…
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Give Coding Agents Eyes Beyond the Chat: Screen Recordings, Session History, and Devices
September 3, 2026 · 47 minYour coding agent can inspect its own chat, but it cannot see you switching between browser research, documents, local files, and devices. Screen recordings can turn that invisible work into model context effectively with video native…
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Make Your Coding Agents Expert Designers
August 28, 2026 · 50 minAI can generate a website in seconds. So why does so much AI-generated design still look generic? The problem is not the model. It’s the workflow. In this episode, we break down three real things we built: the Superlinear website, a…
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Context Hygiene for Coding Agents: Murder, Lobotomy, or Diary
August 18, 2026 · 44 minA million-token context window doesn’t mean you should fill it. Every piece of information you keep in a coding agent’s active context has a cost. Not just in tokens and dollars, but in the model’s attention. In this episode, we explore…
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Beyond Root-Level Harness Engineering: A Different Environment for Every Task
August 12, 2026 · 59 minHarness engineering usually happens at the root level of a project. However, it should go much deeper. Frontend work, debugging, performance optimization, reviews, and other hard tasks can each have their own purpose-built environment…
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4 Emerging Practices in Agentic Engineering
July 28, 2026 · 48 minCoding agents are becoming more capable, but getting better results increasingly depends on the systems, interfaces, and feedback loops we build around them. In this episode of the Superlinear podcast, we unpack four emerging practices in…

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