DefProd
Support best next actions and delivery priorities
Use implementation-focused reporting to surface top priorities, clarify what needs attention next, and keep delivery discussion grounded in the current product definition.
Features
Shared product definition for teams building with AI.
See how DefProd helps product managers, developers, and AI agents work from the same shared product definition across real delivery workflows.
Capability
Define the product clearly
Create and maintain product definition―briefs, user stories, and software architecture―in one common place so that intent stays explicit and visible instead of scattered across multiple documents and threads.
Example flow
- Product Brief — Capture goals, scope, target audience, requirements and constraints for the software you're building.
- User Story — Break functionality into user stories with acceptance criteria your team can review.
- Architecture — Standardize technical structure to maintain security, reliabiltiy, flexibility and scalability.
Capability
Share one definition across the team
Product and engineering work from the same current definition—instead of reconciling tickets, chat, and stale docs. Product owners get a single place for visibility; QA and support teams can trace intended behavior from the same source.
Whether you define, build, verify, support, or govern the product, everyone points at one structured definition.
Work across real delivery interfaces
DefProd meets teams where they work: the web app for collaborative review, the CLI and API for engineering workflows, and MCP so AI agents can read and act on the same structured definition.
Product Definition
Web
CLI
API
MCP
Product Managers
Developers
AI Agents
Operationally, DefProd sits between your structured product intent and the interfaces your team and agents use every day—without asking you to replace your whole toolchain.
Capability
Build faster with AI, with less drift
When developers and AI agents pull context from the same structured product definition, generated work stays closer to what product actually asked for.
That shared context helps teams move confidently toward agentic development—faster iteration without silently rewriting intent in prompts and side channels.
Prove what was intended
Traceability links what product defined to what engineering built, how you verified it, and which release delivered it—so outcomes are explainable, not improvised.
Product
Brief
Brief
User
Story
Story
Change
Record
Record
Code
Implementation
Implementation
Test
Verification
Verification
Shipped
Release
Release
This chain keeps acceptance criteria, implementation, and verification tied back to the original product intent—and it does not stop at a passing test. It ends at the release that actually shipped the work, so you can show what was intended, what was built, and what went live.
Track every change from accepted to shipped
A change is the unit of work between “we agreed to do this” and “it’s live”. DefProd holds its intent, where it came from, and the design behind it—then tracks it through a lifecycle that stamps itself as the work happens.
- Intent, origin, and design captured on every accepted change, each with a short key like CHG-42 that people and agents can refer to.
- A lifecycle that stamps itself as a person, an agent, or CI/CD does the work—so the board reflects what happened, instead of whoever last remembered to drag a card.
- You choose who drives each stage—human, agent, or CI/CD—set once for a repository and overridden per product when a team wants tighter human-in-the-loop control.
- Oversight proportional to risk, with the pipeline for a change selected from what that change actually does rather than applied uniformly to everything.
- Failures recorded as failures. A stage that fails is marked failed, not quietly reset to un-started.
- One board across the whole team, searchable and filterable by owner, so nobody has to ask what everyone else has in flight.
- Every change is a link you can paste into a chat thread, a commit message, or a report, and it opens on the change itself.
- Shipped changes are frozen—once the work is live, the record cannot be quietly rewritten.
- A full programmatic surface, so JIRA, Notion, Linear, or an AI agent can originate a change and drive it end to end without a human opening the web app.
See what actually shipped
When your pipeline runs, DefProd records it. Deployment runs, their stage timelines, and the releases they produced are all visible in the app—including the failures.
- Every deployment run, newest first, with its outcome, the products it touched, the commit, the environment, and its timings—failed runs included, not hidden.
- Open a run for its stage-by-stage timeline, the gate it failed at, and recent log output—with no shell access to the build host.
- Runs update live as they progress, in place, so you can watch a deploy rather than refresh it.
- The version a production run shipped, shown on the run itself.
- A release per product listing the changes it delivered, each linking back to the change record behind it.
- Readable programmatically with team-, repository-, or product-scoped credentials, so the same picture can feed a dashboard or a status report.
DefProd observes your pipeline; it never drives it. There is no button here that deploys, re-runs, or rolls back—and reporting is best-effort, so it can never fail your deploy.
Definition history and milestones
When product definition moves fast—especially with AI-assisted edits—leads still need a clear record of what changed, when, and under whose direction.
- Automatic definition change logs for updates to structured product definition, so reviews do not depend on chat threads or informal notes.
- Identity-aware entries that distinguish human edits from agent-driven changes where the product surfaces that distinction—useful for ownership and follow-up.
- Milestone publishing and versioned states when you need a fixed snapshot for release checkpoints, handoffs, or internal sign-off.
- Auditable undo and redo tied to the same history, so rollbacks stay visible instead of looking like silent rewinds.
Onboard large codebases faster
DefProd helps teams turn existing code into a usable starting definition without weeks of manual documentation work. For large projects and monorepos, onboarding should feel practical, not intimidating.
Onboarding value
Onboard multi-million LOC projects in hours, not weeks.
- Start from the code you already have rather than rebuilding product definition from a blank page. AI does the heavy lifting.
- Segment monorepos intelligently into business-level product boundaries that map cleanly into the codebase structure.
- Create a usable starting structure for product briefs, user stories, and architecture that teams can refine incrementally.
- Lower the adoption barrier for teams that want spec-driven delivery without a long upfront migration project.
Codebase
Existing apps and libraries
Segmentation
Business-level product boundaries
Definition
Product briefs, user stories, architecture
Refinement
Review and improve with your team
Turn product definition into actionable reporting
DefProd can turn current product definition into reports that help teams act now and think ahead. Tactical reporting supports implementation decisions; strategic reporting helps product leaders see the bigger picture.
Give product leaders clearer direction signals
Use strategic reporting to support product owners and managers with higher-level direction, emerging themes, and a stronger view of where product definition should evolve next.
Together, these reporting modes help teams move from stored definition to informed action: what to do next tactically, and what to improve next strategically.