This week the crew chats with Hirsch Singhal, Staff Product Manager at GitHub, about effective collaboration between product and engineering. LinksHirsch Singhal's Bluesky: https://bsky.app/profile/hpsin.netHirsch Singhal's LinkedIn: https://www.linkedin.com/in/hirsch-singhal/Domain-Driven Design: https://www.amazon.com/Domain-Driven-Design-Tackling-Complexity-Software/dp/0321125215 Hosts⁠⁠⁠⁠Overcommitted.dev⁠⁠⁠⁠Bethany Janos: ⁠⁠⁠⁠https://github.com/bethanyj28⁠⁠⁠⁠Brittany Ellich: ⁠⁠⁠⁠https://brittanyellich.com⁠⁠⁠⁠Eggyhead: ⁠⁠⁠⁠https://github.com/eggyhead⁠⁠⁠Jonathan Tamsut: ⁠⁠https://jtamsut.substack.com⁠⁠

What's in the SOSS? features the sharpest minds in security as they dig into the challenges and opportunities that create a recipe for success in making software more secure. Get a taste of all the ingredients that make up secure open source ...

Welcome back to Break, a Fallthrough aftershow! It's just Kris and Steve for this one! After brief reflections on the Gastown discussion, the episode pivots into a deep dive on semantic versioning,...

This week we're talking about Gastown! Dylan and Steve join Kris to break down the viral project that spins up hundreds of Claude Code instances to build a software factory. Steve makes the case fo...

Techno Tim joins Adam to dive deep into the state of homelab'ing in 2026. Hardware is scarce and expensive due to the AI gold rush, but software has never been better. From unleashing Claude on your UDM Pro to building custom Proxmox CLIs, they explores how AI is transforming what's possible in the homelab. Tim declare...

We discuss the buzz around Clawdbot / MoltBot / OpenClaw, how app subscriptions are turning into weekend hacking projects, why SaaS stocks are crashing on Wall Street, and what it all means.

AI coding agents are rapidly reshaping how software is built, reviewed, and maintained. As large language model capabilities continue to increase, the bottleneck in software development is shifting away from code generation toward planning, review, deployment, and coordination. This shift is driving a new class of agentic systems that operate inside constrained environments, reason over

As the creator and long-time maintainer of ESLint, Nicholas Zakas is well-positioned to criticize GitHub's recent response to npm's insecurity. He found the response insufficient, and has other ideas on how GitHub could secure npm better. On this episode, Nicholas details these ideas, paints a bleak picture of npm alte...

ProposalsAccepted: direct reference to embedded fields in struct literalsNew: Generic Methods for Go

Quinn and Thorsten are back! It's been a while since they published a Raising An Agent episode and in this this episode, they discuss how everything seems to have changed again with Gemini 3 and Opus 4.5 and what comes after — the assistant is dead, long live the factory.

In this episode of Raising an Agent, Beyang and Camden dive into how the Amp team evaluates models for agentic coding. They break down why tool calling is the key differentiator, what went wrong with Gemini Pro, and why open models like K2 and Qwen are promising but not ready as main drivers. They share first impressions of GPT-5, explore the idea of alloying models, and explain why qualitative “vibe checks” often matter more than benchmarks. If you want to understand how Amp thinks about model selection, subagents, and the future of coding with agents, this episode has you covered.

In this episode, Beyang and Thorsten discuss strategies for effective agentic coding, including the 101 of how it's different from coding with chat LLMs, the key constraint of the context window, how and where subagents can help, and the new oracle subagent which combines multiple LLMs. 00:53 Intros 03:35 How coding with agents is very different from coding with prior AI tools that use chat LLMs 10:46 Example of an agentic coding run to fix a simple issue 14:28 Example of debugging an issue with an MCP server 22:05 Example of unifying two build scripts that share logic 25:24 How context window size has emerged as a key constraint on agentic automation 31:16 Why it's best to focus on one thing at a time per agentic thread 33:24 Subagents and how they help extend the effective context window 34:04 The Amp codebase search subagent 38:48 General-purpose subagents 44:20 When to use subagents 47:04 The oracle subagent and o3 51:47 Multi-model agents and using the best model for each job

In this episode, Quinn and Thorsten discuss Claude 4, sub-agents, background agents, and they share "hot tips" for agentic coding.