Beads, Better Specs, and Less Rework
Om avsnittet
Andrew Zigler is a GTM Engineer at LinearB and the host of Dev Interrupted, a twice-weekly podcast and newsletter about AI-native development and agentic orchestration. A classicist by training, he previously taught in Japan, built e-learning platforms, and worked in developer relations at Mattermost.
Dan and Andrew discuss how shared workflows and memory can help turn individual AI gains into team improvements. Andrew explains his Mise en Place planning methodology and how he uses Beads to translate ideas into connected tasks, while keeping human collaboration in tools such as Asana and Confluence.
They examine why clear specs reduce rework without removing the need for iteration, how CI/CD and code review may adapt to agentic development, and what Andrew’s personal agent setup has changed about his work and learning.
Chapters
- (00:00) - Introduction and the gap between individual and team gains
- (06:15) - Open source when agents become the users
- (10:09) - A personal agent stack built on simple primitives
- (17:37) - Mise en Place and planning before coding
- (21:58) - Connecting Beads to team workflows
- (26:10) - Why task graphs help agents maintain context
- (35:57) - Shared specs and human alignment
- (43:26) - Agile iteration with faster prototypes
- (44:52) - CI/CD and independent code review
- (52:12) - Humanities, learning, and managing agents
- (58:00) - Changing skills and software interfaces
- (01:02:25) - Fixing feedback loops and sharing the stack
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Links from the show
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- Beads
- Beads Rust
- Mise en Place
- Andrew’s dotfiles
- Dev Interrupted
- LinearB
- Tailscale
- Agent Gateway
- systemd
- WireGuard
- DuckDB
- Wispr Flow
- Dolt
- Gas Town
- Steve Yegge
- Jeffrey Emanuel
- Robots Ate My Homework
- NumPy
- pandas
- The Diamond Age
- Snow Crash
- agile
- continuous integration
- progressive web app
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Guests
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Andrew Zigler, GTM Engineer, LinearB; Host of Dev Interrupted
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