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Plan

Turn intent into implementation-ready work

Context-aware PRDs, specs, and impact analysis — grounded in your actual codebase. Stop the ping-pong between product and engineering.

Custom Reports & Planning

Purpose-built analyses tailored to your specific initiative — migrations, feature planning, compliance mapping, and more.

Available Report Recipes

  • Codebase Migration Assessment
  • Custom Onboarding Document
  • New Feature Planning
  • Regulatory Compliance Mapping (GDPR, HIPAA, SOC 2)
  • Dependency Upgrade Impact
  • Module Extraction Analysis

“Migration from React 17 to 18 affects 142 components; 89% are compatible, 12 require Suspense boundary additions, and 3 rely on deprecated lifecycle methods.”

Custom Reports
Custom Reports — report type cards grid showing available report templates

Interactive Codebase Chat

Ask questions about your codebase and get instant, context-aware answers backed by deep code analysis. Every answer traces back to source — no hallucination.

What you can ask

  • How does the authentication flow handle expired tokens?
  • Where is the logic that calculates shipping costs?
  • What components would be affected if I changed the Order schema?
  • Write a spec for a new endpoint following our existing patterns
Codebase Chat
Codebase Chat — AI-powered chat sidebar with code references in response

JIRA & Linear Integration

Enrich tickets directly in your backlog with context-aware specs, implementation plans, and AI-ready prompts.

What gets added to tickets

  • Context-aware PRD/spec with acceptance criteria
  • Technical implementation plan with affected modules
  • Impact & risk analysis with dependency mapping
  • Testing plan with suggested unit/integration/e2e tests
  • AI-ready prompts tailored for coding agents
1
Generate Spec

Click on any ticket to generate a structured PRD with technical plan and acceptance criteria.

2
Backlog Grooming

Auto-draft specs, effort estimates, and dependency analysis for upcoming sprint items.

3
Start Work

Get an AI-ready prompt pack with constraints, examples, and relevant files for coding agents.

4
Post-Merge

Automatically generate "what changed" notes and update architecture documentation.

Before
PLAT-1234.txt
// JIRA Ticket: PLAT-1234
// Status: Backlog

Title: "Improve checkout performance"

Description:
  "Checkout is slow. Please fix."

Acceptance Criteria:
  (none)

Estimate:
  (none)
After enrichment
PLAT-1234-enriched.json
// JIRA Ticket: PLAT-1234 (Enriched)
{
  "title": "Optimize checkout API latency",
  "impact_analysis": {
    "services": ["OrderService",
      "PaymentGateway", "InventoryCache"],
    "files_affected": 14,
    "risk": "medium"
  },
  "acceptance_criteria": [
    "P95 latency < 200ms (from 800ms)",
    "Zero increase in error rate",
    "Cart abandonment rate stable"
  ],
  "implementation_plan": [
    "Add Redis cache for inventory",
    "Parallelize payment + inventory",
    "Add connection pooling"
  ],
  "testing_plan": [
    "Load test: 1000 concurrent",
    "Integration: payment retry flow",
    "E2E: full checkout journey"
  ],
  "estimated_effort": "3-5 days",
  "ai_prompt_pack": "available"
}

Plan with confidence. Ship with clarity.

Turn product intent into implementation-ready work — grounded in your actual codebase.