Why We Built prd.it

Most products fail in the build phase-not because teams lack talent or tools, but because the specification is weak. Requirements stay fuzzy, architecture decisions are implied rather than written down, and every new feature adds another layer of guesswork.

When the spec is unclear, builders optimize for speed and prompts instead of intent. Features ship, but they drift from the original vision. Refactors pile up. Technical debt compounds. The product works-but it is not what anyone actually meant to build.

We saw this pattern everywhere: strong engineers, modern stacks, and AI assistants-yet products that did not match the founder's or PM's mental model. The root cause was rarely “bad code.” It was bad or missing specification.

Recent advances in AI coding have accelerated output dramatically. That is a gift and a risk.

Today, much of a codebase-often most of it-is generated, not authored line-by-line by the developer who owns the vision. The developer may approve diffs, merge PRs, and ship features without deeply understanding every path, dependency, and tradeoff in the system.

The distance between “what I wanted to build” and “what actually exists in the repo” has grown. Vision lives in conversations and documents; reality lives in generated code the team barely recognizes. Without a strong bridge between the two, teams build fast-but not optimally, and not with confidence.

prd.it exists to tighten the connection between product intent and the codebase-so builders stay aligned with the vision even when AI writes most of the implementation.

We build tools across the full loop:

• Specify before you build - Structured PRDs and architecture constraints so AI and humans share the same source of truth (Specifys AI, GreenPRD).
• See what you have - Repository intelligence and visual maps so teams understand structure, not just diffs (Rift Code).
• Keep spec and code in sync - Live workspaces and IDE integrations (including MCP) so changes in vision propagate to what gets built.

Our mission is specification-first development: make intent explicit, keep it current, and make the codebase legible again-so AI amplifies the developer's vision instead of replacing it.

Our R&D headquarters is in Herzliya, Israel; our growth office is in San Francisco, USA. We are a product engineering company at the intersection of PRDs, code intelligence, and IDE workflow automation-and we are hiring builders who care about closing the vision-code gap.