Shows / 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
Episodes
- Superlinear
Coding Agents Just Changed Formal Verification Forever | Poteto's Skill, Bend2, Drifting Models
Continue the conversation from the episode on Discord: https://superlinear.fm/discord The create-formal-verification-skill by Poteto, aka Lauren Tan, can find…
- Superlinear
Pi Durable: The Missing Piece for AI Agents That Keep Working
An 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…
- Superlinear
How to Make Coding Agents Faster: Crabbox + 3 Fixes
Your 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…
- Superlinear
How to Build AI Agents Like Dots, Instinct, Muse & Grok Bot
How 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…
- Superlinear
How to Build and Verify Agent-Written Code with Bend 2
Bend2 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…
- Superlinear
Jev and Decision Models: A New Layer for AI Agents
Your 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…
- Superlinear
The Fall 2026 Workflow for Starting Projects with Coding Agents
GPT-6 Astra and Fable 5.1 are changing how we start new software projects: Less harness engineering, less process, less prescribing. More deliberate steering…
- Superlinear
New Model Dropped? 4 Ways to De-slop Your Project
Your project still carries decisions made before the latest model arrived: tests for removed features, slow checks, outdated code, and instructions that keep…
- Superlinear
Give Coding Agents Eyes Beyond the Chat: Screen Recordings, Session History, and Devices
Your coding agent can inspect its own chat, but it cannot see you switching between browser research, documents, local files, and devices. Screen recordings…
- Superlinear
Make Your Coding Agents Expert Designers
AI 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…
- Superlinear
Context Hygiene for Coding Agents: Murder, Lobotomy, or Diary
A 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…
- Superlinear
Beyond Root-Level Harness Engineering: A Different Environment for Every Task
Harness engineering usually happens at the root level of a project. However, it should go much deeper. Frontend work, debugging, performance optimization…
- Superlinear
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…
- Superlinear
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…
SuperlinearPoint, 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…