Why we built PRISM
Vibecoding has a bad reputation. You describe what you want, AI generates code, and you get inconsistent results that fall apart at scale.
We built PRISM to fix that. It is the context engineering layer that makes AI coding reliable. Describe your idea, let the system extract everything it needs, and let the agents get to work.
Other spec-driven development tools exist — BMAD, Speckit, Taskmaster. They all make things more complicated than they need to be, or lack real big-picture understanding. We are not a 50-person software company. We do not want to play enterprise theater.
The complexity is in the system, not in your workflow. Behind the scenes: context engineering, XML prompt formatting, subagent orchestration, state management. What you see: a few commands that just work.
What we believe
- Context is everything. Fresh 200K context per plan is the difference between code that works and code that merely compiles.
- Governance should be invisible. If engineers have to remember to follow a process, the process will fail. Build it into the workflow.
- Verification is not optional. “It compiled” is not verification. Did it deliver what the requirement said?
- Simple workflows, complex systems. The user sees a few commands. The system handles research, planning, execution, verification, and governance behind the scenes.
Where we are headed
PRISM is evolving into a fully agentic SDLC orchestration platform — from the CLI-first tool that powers individual developers today to an enterprise platform with multi-team governance, multi-repo orchestration, autonomous backlog operations, and a unified artifact intelligence graph that links requirements to production.
The vision: engineering organizations that ship with predictable momentum, auditable traceability, and AI that stays sharp no matter how large the project grows.