Your AI agents don't need better models. They need the same context.
Everyone on the team has good coding agents. That is not what made the team fast. The shared repo, the shared docs, and a glossary nobody is allowed to drift from did more than any model choice.
In this Product Highlights conversation, Patrick Dawkins, a principal engineer at Upsun who is building Upsun Dispatch™ under a hard deadline, explains what his team changed to sustain that pace. His take: "As well as the team all having access to the same things and the same vocabulary, all the agents also have access to those docs."
We get into:
- Why individual agent adoption stalls, and what has to be shared before speed reaches the team
- How marketing, product, and engineering ended up in one monorepo, and what that unblocked
- Why every doc written for a human is also a doc an agent reads
- Why activity, task, job, and execution cannot all mean the same thing, and what it costs when they blur
- How a strict glossary stops confusing people and agents at the same time
- Why the next constraint after shared context is your CI pipeline
Upsun Dispatch is open to a founding design partner cohort for engineering teams of 50 to 500, with a full public launch planned for September 2026. Join the waitlist at https://upsun.com/dispatch. Learn more at https://upsun.com
📖 Related reading, Introducing Upsun Dispatch: a platform for the agentic SDLC: https://upsun.com/blog/introducing-upsun-dispatch/
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