CodeOrc
Agentic Coding Engine

Build Software with
Autonomous AI Agents

CodeOrc transforms requirements into production-ready code. Plan, execute, validate, and integrate — all powered by AI agents working in concert.

Coming Soon
agent-workflow.log
→ Planning
Generated development plan with 12 chunks
→ Executing
Building authentication module (chunk 3/12)
→ Validating
Running linters, tests, and semantic checks
→ Integrating
Committed to feature/auth-module branch

Powered by leading AI providers

Anthropic OpenAI Azure DevOps GitHub

Everything you need to ship faster

Smart Planning

AI analyzes requirements and generates phased development plans with dependencies, milestones, and acceptance criteria.

Iterative Execution

Code is developed in focused chunks of 500-1000 LOC, each building on the last with full context awareness.

Automated Validation

Built-in quality gates run linters, tests, and semantic checks before any code is integrated.

Git Integration

Seamless branching, committing, and merging with conflict resolution and descriptive commit messages.

Azure DevOps

Import work items, user stories, and bugs directly from your Azure DevOps boards.

Multi-Provider AI

Use Anthropic Claude, OpenAI GPT, or local Ollama models. Switch providers without changing a line of code.

From requirements to production in 4 steps

1

Input Requirements

Provide designs, user stories, or text requirements. Import from Azure DevOps or describe what you need.

2

Generate Plan

AI Planner creates a phased development plan. Review, approve, or request changes before execution begins.

3

Execute & Validate

Executor writes code chunk by chunk. Validator tests each piece. Auto-fix loop catches bugs early.

4

Integrate & Deploy

Integrator commits validated code to your repo. Track progress, review chunks, and intervene when needed.

We're building the future of autonomous development

CodeOrc is currently in active development. Be the first to know when we launch.

Coming Soon