Train your AI agents on your codebase. Auto-select models, analyse impact before executing, visualise architecture, and develop large projects with living context.

v2.1.0
विद्या ददाति विनयम्
Knowledge gives humility — Hitopadesha
The Path of v2.0
🧠

AI Team Training

Onboard your entire team on any codebase. Agents learn your conventions and grow with the project.

Auto Model Selection

Picks Haiku, Sonnet, or Opus based on prompt complexity. Save tokens on simple tasks, unleash full power when needed.

🎯

Auto Agent Selection

Routes your prompt to the best-suited agent automatically. No manual switching between specialists.

🔍

Impact Analysis

Analyse the impact of a prompt before executing. Preview what files change, what breaks, what improves.

📈

Architecture Visualisation

Visualise your database schema and project architecture. Understand complex systems at a glance.

🏗

Living Context

Develop large projects while keeping context alive. Agents are trained throughout, never losing track of the bigger picture.

APIE Studio — my-project
Explorer
Git
DB
my-project
src
TS index.ts M
TS server.ts
TS routes.ts A
public
JS app.js
{ } package.json
MD README.md
Watching for changes
Vastu · Architect plan auto · opus
Refactor the auth module to use JWT tokens
🔍 Impact: 4 files · auth.ts, middleware.ts, routes.ts, tests · 0 breaking
I'll plan the JWT migration first. The impact analysis shows safe changes across 4 files with no breaking effects.
Edited src/auth.ts — replaced session logic
Ran npm test — 18 tests passed
Ask anything…
Chats
Team
Tools
🏛
Vastu
The Architect
🛠
Vishwakarma
The Developer
🎨
Chitran
The Designer
🗄
Dhara
DB Engineer
Yantrik
The DevOps
🧪
Pariksha
The QA
🛡
Kavach
Security Analyst
🔗
Sandhaan
API Designer

Your AI Team

Eight specialists, each trained on your codebase. They collaborate, stay in character, and grow with your project.

🏛

Vastu  वास्तु

The Architect. System design, module structure, dependency graphs, and architectural decisions.

🛠

Vishwakarma  विश्वकर्मा

The Developer. Full-stack implementation, features, bug fixes, and production-ready code.

🎨

Chitran  चित्रण

The Designer. UI/UX, interface layout, component styling, and visual consistency.

🗄

Dhara  धारा

The DB Engineer. Database design, query optimisation, migrations, and data modelling.

Yantrik  यांत्रिक

The DevOps. CI/CD pipelines, Docker, deployment workflows, and infrastructure.

🧪

Pariksha  परीक्षा

The QA. Test plans, unit/integration/e2e tests, edge cases, and quality assurance.

🛡

Kavach  कवच

The Security Analyst. Vulnerability audits, OWASP Top 10, auth flows, and CVE scanning.

🔗

Sandhaan  सन्धान

The API Designer. REST/GraphQL endpoints, request/response schemas, and API documentation.

Built for Mastery

Every tool you need, woven into one sacred workspace.

🧠

AI Team Training

Onboard your team on any codebase. Agents learn conventions, patterns, and context as your project evolves.

🔍

Impact Analysis

Preview the impact of every prompt before executing. See what changes, what breaks, and what improves.

📈

Architecture Visualisation

Visualise database schemas and project architecture. Understand complex systems through interactive diagrams.

Git Integration

VS Code-style status colours in the file explorer. AI-generated commit messages, branch management, and full Git workflow.

🖥

SSH & Remote Dev

Run Claude on remote servers with full file browsing, port tunnelling, and terminal access over SSH.

🗃

Database Tools

Connect to PostgreSQL, MySQL, and MongoDB. Browse schemas, run queries, and introspect databases visually.

Begin in Three Steps

Up and running in under five minutes.

1

Install Claude Code

Set up the Claude Code CLI on your machine. This powers the AI backend.

npm i -g @anthropic-ai/claude-code
2

Download APIE Studio

Grab the native desktop app for macOS or Windows.

.dmg / .exe
3

Start Building

Open a project, let Auto select the right agent, and begin.

>_ ready

Ready to Begin?

Download APIE Studio and build with the wisdom of nine agents.

Requires Claude Code CLI installed.