routeThe Full-Team SDLC

Plan, build, ship. From product spec to merged PR.

Disco Parrot is the AI-native development platform for the whole team. Product managers prototype features in minutes. Designers enforce consistency at scale. QA gets auto-generated test cases. Developers ship governed code. Every artifact links back to the original requirement.

1

Product Managers

Describe what you need. AI builds the spec from real code.

Product managers describe features in plain English. Disco Parrot reads your actual codebase -- the architecture, the existing patterns, the dependencies -- and generates structured initiatives and specs that are grounded in reality, not aspirational guesswork.

The AI asks clarifying questions and tracks open requirements as first-class objects. Answers fold back into the spec automatically. Nothing gets implemented while requirements are ambiguous. Every initiative lives in your repo as versioned markdown -- a single source of truth with features, sizing, phases, and dependency mapping.

/initiative/plan/resume
Preview
initiative · flow-orchestration-engine.mdVersioned
## Goal
Deliver a workflow engine with checkpoints...
## Features
shippedF1: Basic flow runner (S)
in-flightF2: Conditional step skipping (M)
plannedF3: Parallel execution (L)
## Open questions
openShould flows resume after container destroy?
answeredYes -- persist state to platform store.
AI read 14 source files to generate this initiative
Preview
initiative · customer-management.md
## Goal
Build customer CRUD with bulk actions...
## Features
shippedF1: Customer list with search (S)
in-flightF2: Detail view + edit form (M)
plannedF3: Bulk actions (L)
## Open questions
openSoft delete or hard delete for customers?
2

Product + Engineering

AI generates plans grounded in your actual codebase.

The AI reads your source code and generates implementation plans that reference real files, real functions, and real architecture patterns. Each plan has 3-8 concrete steps with exact files to modify, acceptance criteria, and design decisions with rationale -- not vague descriptions that leave developers guessing.

Human checkpoints gate the work: product approves the initiative before planning starts. Plans are approved before implementation begins. The AI updates plans as work progresses with an implementation log so everyone can see what's done and what's next.

3

AI Agents + Developers + QA

Execute plans. Auto-generate test cases. Verify everything.

AI agents read the approved plan and execute step-by-step in isolated sandboxes -- committing after each step, running code integrity gates, and verifying against acceptance criteria. Multiple flows run in parallel without conflicts because each sandbox is a separate branch and filesystem.

QA gets functional test cases auto-generated from plan acceptance criteria -- written in natural language that describes user actions and expected results, not code. Every test case traces back to a requirement in the initiative.

/implement/verify/generate-test-cases/flow
Preview
check_circle1 Research
check_circle2 Plan
front_handCheckpoint
progress_activity3 Implement
4 Test Cases
5 Verify
6 Create PR
check_circle 4 test cases generated from acceptance criteria
check_circle Code integrity gates passing
progress_activity Implementing step 3 of 5...
Preview
Opened#3412 · Customer management: list + detail views
  • check_circle12 files changed · +612 / -184
  • check_circleTests pass · 42/42
  • check_circleStep timeline attached
  • check_circleLinked to initiative · customer-management.md
  • check_circleTest cases attached · 4 functional tests
Full audit trail: 47 events · Every turn, tool call, and file write logged
4

Whole Team

Ship with a complete audit trail. Review like any PR.

Changes land in GitHub, Azure DevOps, or Bitbucket. The PR includes a narrated summary, step timeline, linked test cases, and full audit trail. Your existing code review, CI, and branch protection rules apply unchanged.

Every artifact -- initiative, prototype, plan, implementation, test case, PR -- links back to the original requirement. Leadership sees what shipped, compliance gets a queryable trail, and your team moves on to the next feature.

Throughput, not just speed

Dramatically increase team throughput across every role.

When every role has AI-powered tools and every handoff is traceable, the platform compounds across the SDLC — specs that generate plans, plans that produce code, code that ships with a complete audit trail.

grid_view

True parallelism, no collisions

Every run lives in its own isolated sandbox -- separate branch, separate filesystem. Ten agents can be working at once and none of them can step on another's edits.

checklist

Review queue, not watch window

Fire off work and walk away. Completed runs land in a triage queue -- approve, redirect, or discard in a single pass.

hub

Multi-repo context, one sandbox

Pull multiple repos into the same sandbox. Cross-cutting changes (SDK bumps, shared schema updates, API renames) become a single flow run.

schedule

Resumable across days

Interrupt a flow, resume it tomorrow, or hand it off to a teammate. State is persisted and the sandbox spins back up with work intact.

Real initiatives

What teams build with Disco Parrot.

Platform engineering

Private Sandbox Migration

Migrating the sandbox runtime from Docker-on-laptop to a managed AKS fleet with Web PubSub transport. 11 plans; 4 shipped; 7 open -- tracked end-to-end in Disco Parrot.

Developer experience

Unified Planning UX

Seven feature plans bringing initiatives, chat, sandbox warmup, and open-question resolution into a single workspace. Mid-flight; checkpoints running weekly.

Trust & safety

Sweep Plan Stability

Hardening the post-turn sweep so agents cannot corrupt initiative data. Four targeted plans -- validation, identity matching, error surfacing. Shipped in ten days.

Ready for AI development on one platform?

See Disco Parrot in action. Request a demo and we'll walk you through the full workflow -- from prototype to merged PR, for every role on your team.