Blog
Insights on AI-native development, product updates, and engineering deep dives.
The AI Agent Orchestration Showdown: CLI Power vs Web Elegance
Two approaches to the same problem. Both brilliant. Which one fits your workflow? Comparing Gastown's CLI-first approach with LightSprint's modern web experience.
Read more →Beads: Memory Systems for the Agentic Era
Steve Yegge's Beads solves the 'agent amnesia' problem with a git-backed issue tracker designed for AI agents. What does this mean for the future of AI-assisted development?
Read more →ACE: Teaching AI Agents to Learn from Experience
Stanford researchers introduce ACE (Agentic Context Engineering), a framework that makes LLMs self-improving through evolving 'playbooks.' What can we learn from this approach?
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