Your coding agent can read your codebase.
It can’t read your reasoning.

It doesn’t know why you chose this over the four other things on the list. Which segment you decided to lose. What you tried last year and reverted. Whether that constraint is a legal requirement or just a preference.

None of that is in the repo. It never was — and it’s the only context that decides whether you build the right thing.

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The irreducibility test

Some context an agent can work out.
Some it never will.

Before anything reaches your coding agent, ask one question: could it derive this from the repo? If yes, sending it wastes budget and dilutes attention. What’s left is the only context worth sending — and the only context we hold.

It can derive this — don’t send it

Everything in the code

Architecture and file layout
API shapes and data models
Naming and code conventions
Test framework and how to run it
How the project is organised
Anything a search answers in one call

It can never derive this — we hold it

Everything behind the code

Why this problem, and why now
Which customer segment you chose to lose
Legal constraint vs. someone’s preference
What you already tried, and what happened
Which reading of the ticket you actually meant
The things you explicitly decided not to build

The right-hand column can’t be recovered from any codebase, at any model capability level, ever. It lives in discovery, strategy and decisions — and in most companies, it lives nowhere durable at all.

See it end to end

Two minutes, start to finish.

A blank workspace, foundational discovery, a product strategy, and a Context Dispatch landing inside Claude Code.

How it works

Context to code. Connected.

Run discovery once. Everything after that stays connected to it — including the agents writing your code.

The handoff

Your agent connects and starts building.

Velociti runs an MCP server. Your coding agent connects to it, asks which initiatives have Context Dispatches ready, and pulls the intent behind the work — problem, outcome, constraints, non-goals.

No copy-paste. No stale document. And every turn writes back, so the next one starts smarter than the last.

claude code — connected to velociti

$ claude mcp add velociti https://mcp.velocitipm.com
✓ connected to velociti · 8 tools available

$ claude
> which initiatives have context dispatches ready?

● velociti.dispatches(status="ready")
  └─ 3 initiatives ready to build

     1  Showcase Pre-Vetted QA Talent Profiles      2 tickets
     2  Streamline Consultation Booking             3 tickets
     3  Develop Interactive AI Skill Match Demo     2 tickets

> start on 1

● velociti.intent("showcase-pre-vetted-qa-profiles")
  └─ problem     hiring managers need faster, risk-free screening
     outcome     lower time-to-hire, higher candidate confidence
     non-goal    saved payment methods — out of scope
     constraint  legal · no PII in anonymized profiles

● building talent profile showcase
  └─ src/talent/ProfileGrid.tsx     created
     src/talent/ProfileCard.tsx     created
     src/api/profiles.ts            updated

● velociti.record("INIT-114", decision)
  └─ intent verified · written back

Stop building the wrong thing faster.

Enter one sentence about your product. Velo AI generates your canvas, problem maps, story maps, personas and initiatives — then keeps every ticket traceable back to the strategy that justified it.