At Zincan, Coach serves as our Ted Lasso–style Basecamp virtuoso who turns the platform into a full-blown operating system for our fleet of AI agents. By combining Basecamp’s native features and CLI with Shape Up rhythms (Hills, Cycles, Uphill/Downhill), Coach shapes raw ideas, decomposes work into parallel-safe tasks, delegates to specialist agents across the stack, and keeps everything visible in pristine Hill Charts and Mission Control. The result is faster, safer, joyful shipping with total clarity — and we’ve even open-sourced his sanitized playbook so other teams can build their own AI-powered delivery coach.
A human shaped the idea and the outline; AI did the research and most of the writing.
Just like Ella Langley’s “Choosin’ Texas,” sometimes you’ve got to pick the bigger, bolder path. Unlike the unfaithful cowboy in the song, we’ve been dead loyal to Kubernetes from the very beginning at Zincan.
In this AI-agent era where apps are created at lightning speed, Kubernetes delivers the reliable foundation that matters most — built-in autoscaling, self-healing pods, effortless node balancing, and zero-downtime updates — so we can focus on innovation while giving customers truly production-ready, scalable applications.
A human shaped the idea and the outline; AI did the research and most of the writing.
What if AI agents didn’t just help build startups — but became the entire team?
Welcome to the agentic venture studio model.
Unlike traditional studios that rely on expensive human teams, Zincan uses swarms of intelligent agents (powered by the VoltAgent Framework) to concept, design, plan, build, develop, and manage complete products — web, mobile, TUI, and gaming apps — in days instead of months.
Faster. Cheaper. More innovative. And with full long-term ownership retained.
This is the future of company building: humans set the vision, agents execute at scale.
Zincan is adding labels to blog posts to denote when they are AI-Assisted vs completely written by a human. We think this is valuable information and changes how a reader approaches the article.
A human shaped the idea and the outline; AI did the research and most of the writing.
The headlines say AI will replace every coder and every app will soon be just a prompt away. At Zincan inside **Spreckels** — our AI venture studio in the historic 1895 Café Zinkand building — we use specialized AI agents every day to build web, mobile, TUI, and gaming apps.
But running everything through AI is like using an FPGA for every task: flexible for prototyping, yet expensive at scale. The winning approach is using AI to rapidly create purpose-built, CPU-efficient apps — the software equivalent of ASICs — that feel magically intelligent while running 10–50× cheaper in production.
A human shaped the idea and the outline; AI did the research and most of the writing.
The future won’t be won by raw intelligence — it will be won in the battle for mindshare. Humans have limited brain space; we can only learn so many new interfaces before AI tools feel like noise. Amorphous AI is like building a house out of fog — impressive but unlivable.
The winner is the hybrid: CPU-structured apps + GPU AI agents. Solid CPU foundations give us stable systems we can own and think inside, while our AI agents inside Spreckels (named after the historic 1895 Cafe Zinkand building) act as seamless co-pilots that never break your mental model.
Structured foundations. Supercharged agents. That’s the Zincan way.
