Scott talks with Nathan Sobo, CEO and co-founder of Zed, about what comes after the traditional code editor. They start with Zed’s vision for a fast, collaborative, AI-native development environment, then go deeper on DeltaDB: a new approach to versioning software at the operation level, not just at the commit level. Nathan explains why so much important software work happens “between commits,” how agent conversations and code changes can become durable shared artifacts, and what it might mean for Git, collaboration, and the future of programming tools. Nathan previously helped build Atom at GitHub, and Zed describes DeltaDB as operation-level version control for human and AI collaboration.

• https://zed.dev/deltadb

On this episode of Hanselminutes, Scott talks with Ed Rogers of Bristol Braille Technology about the Canute project and the long road toward affordable multiline Braille. Most refreshable Braille displays show a single line at a time; Canute changes the experience by giving readers nine lines and 360 cells of spatial context. Ed shares how multiline Braille opens up new possibilities for reading, coding, math, music, diagrams, education, and independence and why Braille remains a vital technology for literacy, employment, and full participation in the digital world.

• https://bristolbraille.org

Charity Majors is the co-founder and CTO of Honeycomb.io, where she pioneered the concept of modern observability for distributed systems. Before Honeycomb, she spent years at Parse (acquired by Facebook), Facebook, and Linden Lab building Second Life. She is the co-author of "Observability Engineering" and "Database Reliability Engineering" (O'Reilly). She writes at charity.wtf. Whatever she and Scott are planning, they are gonna observability the heck out of it.

Scott talks with Aran Khanna, co-founder and CEO of Archera, about a new category of cloud financial tooling: "Insured Commitments." Instead of locking into 1- or 3-year reserved instance contracts and hoping your usage matches, Archera offers commitments as short as 30 days. They get into the economics of cloud purchasing, how AI workloads are changing capacity planning, and what FinOps looks like in 2026.

http://archera.ai

Scott talks with Skyla Loomis, General Manager of IBM Z Software, about the ongoing relevance of mainframes in 2026. They discuss the enduring power of mainframes, how generative AI is transforming COBOL modernization, and why enterprise infrastructure still runs on IBM Z. Skyla shares insights on developer experience, compliance challenges, and the misconceptions about mainframe technology in a cloud-native world.

Greg Hinkle, co-founder of Nimbalyst and former VP of Software Engineering at Salesforce, joins Scott to discuss the future of AI-assisted development. They explore the challenges of managing multiple AI coding agents, finding flow state in an agentic world, and why visual workspaces matter. Greg shares Nimbalyst's opinionated approach to integrating tools like Excalidraw, task management, and session organization directly into the developer workflow.

• https://nimbalyst.com

Kelly Shortridge, author of "Security Chaos Engineering: Sustaining Resilience in Software and Systems" and CPO at Fastly, joins Scott for an ACM ByteCast joint episode about why security should be designed for failure rather than prevention. From airplane coffee makers causing critical failures to squirrels being the real "advanced persistent threat" to power grids, Kelly makes the case that no system is perfectly secure — and the teams that feel most in control are often the least prepared. The conversation covers metrics theater, the cost-resilience tradeoff, why software has unique advantages for simulation that we're not leveraging, and where LLMs fit (and don't fit) in security workflows.

Tori Westerhoff joins Scott to explore the intersection of AI, human psychology, and personal growth. As people increasingly use LLMs for introspection and decision-making, Tori argues that we're missing the diversity of thought that comes from community, even particularly random encounters with strangers. She reveals her own practice: a daily noon reminder to talk to strangers. "If you sycophant yourself, you're never going to grow," she explains. The conversation delves into how LLMs can create echo chambers of thought, and why the randomness of human connection, even just someone on the same bus, helps us update our mental frames and break out of programmed decision-making paradigms.

In this episode, in association with the ACM ByteCast, Scott talks with Eric Allman, one of the foundational figures of the early internet. Best known for creating Sendmail, the mail transfer agent that powered a large portion of global email infrastructure through the formative years of the network, Allman helped shape how messages move across the internet. Their conversation explores the origins of internet email, the messy realities of building software that must operate at planetary scale, and what lessons today’s engineers can learn from the systems and design decisions that quietly underpin modern computing.

Scott Hanselman sits down with Allen Stewart, Partner Director of Software Engineering at Microsoft, to explore how AI agents with persistent memory are transforming scientific research and software engineering. Allen explains how his team built an AI system that learns from every investigation turning a 12-day autonomous drug discovery run into reusable knowledge that makes future research exponentially faster. Instead of starting from scratch each time, the AI inherits hypotheses, methodologies, and findings from previous work, saving hundreds of millions of tokens and weeks of effort. 

In this episode, Scott talks with Don Syme about the emerging world of agentic developer workflows and what it means when coding tools move from autocomplete helpers to collaborators. They explore how modern tools like GitHub Copilot and GitHub Agentic Workflows are evolving into systems that can plan, execute, and iterate on tasks across a codebase, and what that means for software design, type systems, and developer responsibility. 

https://github.github.com/gh-aw/