Superlinear

Superlinear

Superlinear is a podcast about emerging practices for building with AI and coding agents. Hosted by Brandon Kase and Christine Yip. Homepage: https://superlinear.fm Twitter: https://x.com/superlinear_fm LinkedIn: https://www.linkedin.com/company/superline... Brandon Kase: https://x.com/bkase_ Christine Yip: https://x.com/christinetyip

Épisodes

  1. -6 j

    4 Emerging Practices in Agentic Engineering

    Coding 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 agentic engineering: → Shifting left in your agent harness → Using precise expert language to communicate intent → Choosing deliberately between MCP, CLI tools, Bash, and Code Mode → Using test oracles to help agents explore, verify, and reproduce complex behavior We discuss ideas from AI Native DevCon London, and explore how better guides and sensors can improve a harness, why expert vocabulary helps you access more of an LLM’s capabilities, when code is a better interface than individual tool calls, and how working examples can communicate intent more precisely than a written specification. The broader takeaway: building effectively with AI is not only about choosing a better model or writing a better prompt. It is also about designing a better environment for the agent to work within. Superlinear is a podcast about emerging practices for building with AI. Hosted by Brandon Kase and Christine Yip. Homepage: ⁠⁠https://superlinear.fm ⁠⁠Twitter: ⁠⁠https://x.com/superlinear_fm ⁠⁠LinkedIn: ⁠⁠https://www.linkedin.com/company/superlinearfm⁠⁠ Brandon Kase: ⁠⁠https://x.com/bkase_⁠⁠ Christine Yip: ⁠⁠https://x.com/christinetyip⁠ Music licensed through Soundstripe. Code: O2UT6CCEQNH4KT0D

  2. 24 juil.

    Understanding Loops and Graphs in Modern Coding Agents

    When you ask Fable or GPT-5.6 Sol to complete a task, it feels like you’re talking to one agent.  But behind that single conversation, the harness may be spawning multiple sub-agents, giving each one a fresh context window, running them in parallel, and passing summaries between them.  You gave one prompt. It built a graph.  In this episode of Superlinear, Christine Yip and Brandon Kase unpack how modern agent harnesses grow from simple agent loops into hidden graphs of sub-agents, and why those graphs may be one reason your token limit disappears so quickly. 00:00 Introduction 03:34 How the Agent Loop Works 06:18 Goal Loops and Autoresearch Loops 14:57 From Loops to Graphs 17:06 Sub-Agents: Benefits, Costs, and Context 21:18 The Research Fan-Out Graph 26:27 Multi-Model Agent Graphs 28:37 Asynchronous Implementation and Review 33:40 How to Design Agent Graphs 36:07 When the Harness Builds the Graph for You: Token Spend vs. Performance  38:38 Execution Traces: A Profiler for Agents  41:46 Final Takeaway Superlinear is a podcast about emerging practices for building with AI. Hosted by Brandon Kase and Christine Yip. Homepage: ⁠⁠https://superlinear.fm ⁠⁠Twitter: ⁠⁠https://x.com/superlinear_fm ⁠⁠LinkedIn: ⁠⁠https://www.linkedin.com/company/superlinearfm⁠⁠ Brandon Kase: ⁠⁠https://x.com/bkase_⁠⁠ Christine Yip: ⁠⁠https://x.com/christinetyip⁠ Music licensed through Soundstripe. Code: O2UT6CCEQNH4KT0D

  3. 24 juil.

    Point, Don't Describe: A Better Way to Work With AI Agents

    Most AI workflows still happen in one-dimensional chat. But the best tools are moving toward higher-dimensional interactions: visual, spatial feedback loops where humans can point instead of describe. 00:00 Intro 00:35 Why text is “one-dimensional” and visual interfaces feel higher bandwidth 04:06 The render → annotate → translate loop 05:27 Planotator for giving feedback on plans and specs 07:00 Agentation, Claude, and Codex for frontend feedback 08:47 Building spatial feedback mode into a Roblox game 10:38 Why “point instead of describe” may become a core pattern in agent workflows 11:57 What's next: extending this to video, 3D models, simulations, and more Superlinear is a podcast about emerging practices for building with AI. Hosted by Brandon Kase and Christine Yip. Homepage: ⁠⁠https://superlinear.fm ⁠⁠Twitter: ⁠⁠https://x.com/superlinear_fm ⁠⁠LinkedIn: ⁠⁠https://www.linkedin.com/company/superlinearfm⁠⁠ Brandon Kase: ⁠⁠https://x.com/bkase_⁠⁠ Christine Yip: ⁠⁠https://x.com/christinetyip⁠ Music licensed through Soundstripe. Code: O2UT6CCEQNH4KT0D

    Point, Don't Describe: A Better Way to Work With AI Agents
  • 3 épisodes

À propos

Superlinear is a podcast about emerging practices for building with AI and coding agents. Hosted by Brandon Kase and Christine Yip. Homepage: https://superlinear.fm Twitter: https://x.com/superlinear_fm LinkedIn: https://www.linkedin.com/company/superline... Brandon Kase: https://x.com/bkase_ Christine Yip: https://x.com/christinetyip

Informations

  • Création
    Superlinear
  • Années d’activité
    2026
  • Épisodes
    3
  • Classification
    Tous publics
  • Copyright
    © 2026 Superlinear
  • Site web de l’émission
    Superlinear