AI-PI See the workflow ↗

API Forge presents AI-PI

From failing API
to verified
code fix.

AI-PI maps every frontend API call to its backend route, validation model, database schema, and tests—then gives your coding agent the evidence to correct and verify the complete integration.

Explore a diagnosis ↗ See how it works ↓
LOCAL-FIRSTREPOSITORY-NATIVEAGENT-NEUTRAL
integration map / create invoice local
POST /api/invoices 
consumer  src/hooks/useInvoices.ts:41
  customerId: 2048              number

validator app/api/invoices/schema.ts:18
  customerId: z.string().uuid()     UUID

database  20260918_customer_uuid.sql
Request mismatch 3 sources94% confidence
✦
Evidence-based diagnosis

Frontend sends a number; the validator and migration require a UUID.

FIX
! Contract drift found
✓ Native test ready
DISCOVER ✦ MAP ✦ REPRODUCE ✦ DIAGNOSE ✦ CORRECT ✦ TEST ✦ VERIFY ✦ DISCOVER ✦ MAP ✦ REPRODUCE ✦ DIAGNOSE

01 / WHY AI-PI

Your frontend, backend, schema, and tests should tell the same story.

AI-generated applications move fast, but their contracts drift. A frontend calls a route that never shipped. A migration changes a type the handler still expects. A manual fix never becomes a regression test. AI-PI connects those layers before asking AI to reason—so every correction begins with source evidence, not a guess.

02 / INTEGRATION MAP

See the complete
contract chain.

Every relationship keeps its source location, detection method, confidence, Git revision, and latest verification.

01Consumer calluseInvoices.ts:41
→
02API contractPOST /api/invoices
→
03ValidatorUUID expected
→
04Databasecustomers.id uuid
→
05Native testinvoices.test.ts
Healthy Changed Mismatch Uncertain

03 / THE DIFFERENCE

More than
send + receive.

The request builder is the starting point. Integration intelligence is the product.

01
CALLapps/web12
ROUTEapps/api13
DRIFTcontracts2

DISCOVER + MAP

Your application, understood.

Scan Next.js, Express, and Supabase projects. Match frontend calls to routes, validators, schemas, tests, and historical runs—with confidence and source evidence.

02
✦

DIAGNOSE

Evidence before correction.

Combine request, response, source, schema, logs, Git changes, and the last successful run into a reviewable fix plan.

03

VERIFY

Tests that outlive the tool.

Generate framework-native regression tests, run affected APIs, and prove the entire contract is synchronized.

04 / CORE WORKFLOW

From source
to certainty.

  1. 01

    Scan the workspace

    Discover consumer calls, routes, validators, database schemas, and existing tests directly from source.

    ↗
  2. 02

    Map the integration

    Normalize every layer into one contract model and expose healthy, changed, missing, and mismatched relationships.

    ↗
  3. 03

    Reproduce + diagnose

    Execute locally, collect timing and logs, then build a probable root cause from deterministic evidence.

    ↗
  4. 04

    Correct + verify

    Review the proposed fix, generate a native regression test, and confirm the contract from frontend through database.

    ↗

ONE CORE. EVERY AGENT.

You review.
Agents execute.

Use the same repository-native context from Codex, Cursor, Copilot, or any MCP client. AI-PI stays out of the chat business and gives your existing agent better tools, clearer evidence, and firm approval boundaries.

YOUDeveloper
AI-PIShared context
✦Any MCP agent
{ SOURCE → TEST }

Local core. Open workflow. Verified result.

Find the drift.
Prove the fix.

No account required for local use. Your source stays local, your definitions stay in Git, and your generated tests run without AI-PI.

See the evidence ↗