Coming Soon

Project Agent

Configurable AI Software Development Teams

Assemble an AI dev team — project management, engineering, QA, DevOps, and specialists — and orchestrate their work end-to-end. Multi-provider, role-aware, and built for real software delivery.

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Overview

What You Get

A single place to plan, build, test, and monitor software delivery with an AI team that behaves like a real delivery organization.

AI Delivery Team

PM, frontend, backend, QA, DevOps, and specialist roles working together

Multi-Provider Models

Best-in-class models routed by role, budget, and task complexity

Project Management

Kanban boards, lifecycle controls, and optional Jira integration

Observability

Delivery health dashboards, alerts, and intervention tracking

Agent Chat

Talk-to-your-team workflows with multi-session, scoped context

Cloud Workspaces

Isolated dev environments with write → run → test → fix loops

The Team

AI Roles That Mirror Real Teams

Each role has distinct capabilities, context, and model selection — just like a real delivery org.

Project Management

Coordinates delivery, tracks progress, manages priorities

Frontend Engineering

Builds interfaces, handles UX implementation

Backend Engineering

APIs, services, data layers, and system architecture

Quality Assurance

Test planning, execution, and quality gates

DevOps

CI/CD, infrastructure, deployment automation

Security

Threat modeling, vulnerability scanning, compliance

Team Composition

Configurable AI Delivery Teams

Core roles: PM, frontend, backend, QA, DevOps
Specialist roles: security, database, design, data/ML, docs
Flexible staffing that scales by project complexity
Clear capability coverage visibility

Model Layer

Multi-Provider Orchestration

Best-in-class models across multiple providers
Role-aware model selection for different strengths
Budget-conscious routing with automatic fallbacks
Continuous performance tracking and optimization

Project Hub

Build + Manage + Monitor

Unified project management with table and board views
Kanban-style tracking that works without third-party tools
Optional Jira integration where you need it
Project lifecycle controls with permission gating

Observability

Delivery Monitoring & Interventions

Trend views and capacity/risk insights
Alert-style workflows to acknowledge and resolve issues
Intervention history and auditability
Multi-project org/project scoping

Collaboration

Real-Time Agent Chat

Talk-to-your-team style workflows
Background notifications for important updates
Multi-session chat for parallel threads
Project-scoped context anchoring

Execution

Secure Cloud Workspaces

Dev workspace templates for common stacks
Isolated container-based code execution
File operations and Git-style workflows
Write → run → test → fix iteration loops

The Difference

Why Project Agent

Most AI dev tools stop at generating snippets. Project Agent is built around the reality of software delivery.

Team-first design

Roles and workflows mirror how real teams deliver software

Configurable staffing

Add specialists only when you need them

Multi-provider by design

Use the right model for the right job

Operational visibility

Delivery health and intervention tooling, not just a chat box

Enterprise-ready

Tenant isolation, permission gating, secure integrations

Audience

Who It's For

Founders & Small Teams

Ship faster without scaling headcount immediately

Product Teams

Predictable delivery workflows with clear visibility and control

Agencies

Consistent execution patterns across multiple clients and projects

Enterprises

Org isolation, secure integrations, and auditable operations

Roadmap

Coming Next

Deeper repository governance and automation

Expanded knowledge base and training surfaces

Advanced analytics and model/team optimization

More integration automation with sync and webhooks

Ready to rethink software delivery?

Join the waitlist for early access, or request a demo to see Project Agent in action.

Join the Waitlist Request a Demo