Clarification loops
Requirements scattered across tickets, docs, and chat mean constant back-and-forth with product. Agents don't ask; they guess, and the wrong guess ships faster.
The workspace for agentic product development
From product intent to execution-ready specs
AI made coding fast. Kairo is the spec workspace that makes sure you build the right thing, turning ideas into precise, codebase-aware specifications your team agrees on and your coding agents can execute directly.
Now piloting with select teams · Public launch November 2026
The new bottleneck
Coding is no longer the constraint. Deciding what to build is.
Once coding agents accelerate implementation, the pressure moves upstream, to deciding what to build. Most teams feel it as three kinds of friction.
Context out of reach
PMs know the outcome they want but can't see the architecture, constraints, or what already exists, so every technical question consumes a senior engineer's time.
Agents flying blind
Coding agents execute exactly what they're told, including incomplete instructions. Without product intent, they produce work that is technically valid and product-wrong.
“If you can orchestrate twenty, thirty, fifty agents running in parallel, the difference between mediocre output and exceptional output comes down almost entirely to the quality of your specification.”
The Kairo spec
Four properties of every Kairo spec
Everything you ship starts as a change request: a feature, an improvement, a technical fix, or a bug. The job is always the same: turn it into a precise, technically informed specification the team can agree on and an AI coding agent can execute reliably.
Grounded in the codebase
Your codebase is already a spec. Kairo reads it, so every new requirement is anchored to what really exists.
Sharpened with AI
Kairo's AI flags what is still ambiguous and helps turn fuzzy intent into clear, high-quality requirements in an interactive dialogue.
Collaborative by design
Product, design, and engineering iterate on requirements and plans together. Everyone, humans and AI, works from the same live source of truth.
Directly usable by coding agents
Coding agents read each change request's definition, plan, and linked context directly through Kairo's MCP server. This is spec-driven development done right.
How it works
Move at AI speed without losing coherence
One loop from a half-formed idea to shipped, reviewed, documented work, with an AI skill at every step.
01
Capture intent
Open a change request and describe the outcome. Kairo asks the questions a senior engineer would, and a skill turns the answers into a structured definition.
02
Align as a team
Product, design, and engineering refine the spec and settle open questions, so nothing ambiguous reaches execution.
03
Plan and hand off
Kairo drafts the technical plan, and any coding agent reads the definition, plan, and linked context through Kairo's MCP server.
04
Review what shipped
Check the implementation against the acceptance criteria defined up front, and keep documentation aligned with what shipped.
Every change request on one board: defining → ready → building → done
Who it's for
Built for the whole product team
Product managers
Write better specs on your own
Spend less time translating ideas into tickets and answering questions mid-build. Get engineering-level answers about the codebase in seconds, and catch ambiguity before it ships.
Engineering leaders
Raise the quality of incoming work
When AI makes coding fast, requirements quality becomes the limit. Fewer clarification loops and better agent context turn coding velocity into delivery velocity.
Founders
An operating model for the agentic era
Your team can build much faster. Kairo helps you decide what to build just as well, with a lightweight product-to-engineering workflow and no process overhead.
Your developers are coding faster with agents. Help your product team keep up.
Kairo is piloting with a small group of product and engineering teams ahead of public launch in November 2026. If your team ships with coding agents, we'd like to build with you.