From Business Intent
To Production-Ready Code
Faster Delivery
16X
Accelerate enterprise releases with AI-native software delivery and intelligent multi-agent software development workflows.
Faster Spec-to-Code
80%
Convert requirements into production-ready applications with intelligent AI agents and autonomous coding workflows.
Faster QA Execution
60%
Reduce QA cycle costs by up to 60% with autonomous validation, continuous testing, and self-healing quality workflows.
Beyond AI Coding,
Autonomous Enterprise Delivery
Swarm Intelligence

Multiple AI systems build, compare, and refine solutions simultaneously - selecting the most effective outcome, not just the fastest response.
Autonomous End-to-End Delivery

From PRDs and Jira tickets to production-ready pull requests, Kagen autonomously plans, architects, builds, tests, and delivers software workflows.
Self-Healing Quality

Kagen automatically detects issues, fixes defects, validates outputs, and improves code quality before delivery reaches your engineering teams.
750+ Specialized Intelligence Systems

A coordinated network of planners, coders, reviewers, QA validators, architects, and memory systems - each optimized for a specific responsibility.
Complexity-Aware
Planning
Planning

Kagen analyzes codebases, integrations, dependencies, and business logic upfront to generate execution-ready architectural blueprints with complete context awareness.
Continuous Intelligence
Loop
Loop

Beyond code generation, Kagen operates in a continuous cycle of planning, building, validating, learning, optimizing, and scaling with every iteration.
From Ticket to Production,
Autonomously Delivered
01
SPEC
Spec Gatherer, Writer, Critic, Researcher, and Validator agents collaborate to analyze requirements and generate execution-ready specifications.
02
PLAN
Planner agents break requirements into subtasks, assess complexity, map dependencies, and orchestrate execution workflows.
03
BUILD
Coder agents work in parallel to generate multiple implementations while debating trade-offs to select the best solution.
04
QA
QA Reviewer agents validate acceptance criteria, detect issues, apply fixes, and continuously re-test outputs before release.
05
DEPLOY
Deployment agents generate changelogs, create PRs, validate merges, resolve conflicts, and optimize release readiness.
Swarm Intelligence
Think, Debate, Deliver
Multiple AI agents produce competing implementations simultaneously. The swarm validates, debates, and automatically selects the best outcome for delivery.

Autonomous Agents Across
the Entire SDLC
Specialized AI agents working together to streamline SDLC automation, autonomous coding, deployment, and software operations.
Spec-gatherer
Collects and structures initial requirements
Spec-researcher
Researches technical and business context
Spec-writer
Creates execution-ready specifications
Spec-critic
Identifies gaps and inconsistencies in specs
Spec-validator
Verifies completeness and execution readiness
Planner
Breaks tasks into executable workflows
Coder
Generates production-ready code autonomously
Workflow-orchestrator
Coordinates multi-agent workflows seamlessly
API-builder
Builds and integrates scalable APIs
Tool-agent
Selects and operates required tools
QA-reviewer
Validates outputs against acceptance criteria
QA-fixer
Detects and fixes quality issues
Critic-agent
Challenges outputs to improve reliability
Safety-agent
Enforces security and compliance checks
Verifier
Confirms deployment and execution accuracy
Knowledge-graph-agent
Connects enterprise knowledge intelligently
Contextual-recall-agent
Retrieves relevant contextual memory instantly
Learning-engine
Improves continuously from execution feedback
Outcome-tracker
Tracks execution and delivery outcomes
Data-ingestion-agent
Processes and structures incoming data
Ontology-builder
Maps relationships across enterprise data
RAG-context-builder
Builds context-aware retrieval pipelines
Semantic-modeler
Understands meaning across enterprise data
Diagnostics-agent
Monitors systems for operational issues
Self-healing-agent
Resolves failures automatically in real time
Anomaly-detector
Identifies unusual system behaviors instantly
Performance-tracker
Measures efficiency and system performance
150+ Skills That Power
Agentic Delivery
Kagen ADD includes a growing marketplace of pre-built and custom skills that agents can automatically select, combine, and chain based on the delivery task. Use pre-built skills out of the box, install new skills from the marketplace, or create custom skills tailored to you.
Development Skills
Build faster with skills for frontend components, backend APIs, Docker debugging, and database schema design.
- React Component Generator
- API Endpoint Scaffolder
- Docker Debugger
- Database Schema Designer

Security & QA Skills
Improve software quality with skills for code review, dependency audits, accessibility checks, and test coverage.
- Code Review Pro
- Dependency Auditor
- Accessibility Auditor
- Test Coverage Improver

Analytics Skills
Create dashboards, parse financial data, improve SEO, and run structured experimentation.
- Executive Dashboard Generator
- Financial Parser
- SEO Optimizer
- Hypothesis Testing Engine

Sales & CRM Skills
Support go-to-market and revenue workflows with skills for lead qualification, deal reviews, and pipeline health.
- Cold Email Sequence Generator
- Deal Review Framework
- Inbound Lead Qualifier
- Pipeline Health Analyzer

Content & Docs Skills
Automate technical writing, API documentation, release notes, and landing page copy.
- Technical Writer
- API Documentation Writer
- Podcast Content Suite
- Landing Page Copywriter

Operations Skills
Streamline daily work with skills for meeting intelligence, knowledge bases, task planning, and project management.
- Meeting Intelligence
- Knowledge Base Builder
- Cross-Conversation Project Manager
- Task Planner

FAQs
Everything you need to know about Kagen ADD, AI-native software delivery, and autonomous SDLC automation.
What is Kagen ADD?
Kagen ADD is an AI-native SDLC platform designed for autonomous software development and intelligent SDLC automation.
How does Kagen ADD work?
The platform uses multi-agent orchestration to plan, code, test, validate, and deploy software autonomously.
What makes Kagen ADD different from AI coding assistants?
Kagen ADD is an AI software delivery platform that automates the entire software development lifecycle, not just code generation.
Is Kagen ADD built for enterprises?
Yes, Kagen ADD is an enterprise AI development platform built for scalability, governance, security, and auditability.
Can Kagen ADD integrate with existing development tools?
Yes, it integrates with GitHub, Azure DevOps, CI/CD pipelines, APIs, and enterprise engineering workflows.
Does Kagen ADD support multiple AI models?
Yes, the platform supports OpenAI, Claude, Gemini, and other enterprise AI models for flexible AI-native software delivery.
Can enterprises build custom AI skills?
Yes, organizations can create proprietary AI skills tailored to their autonomous coding platform and engineering workflows.
How does Kagen ADD improve software delivery speed?
AI agents automate planning, coding, QA, and deployment workflows through AI-driven delivery software capabilities.
Is human oversight included in the process?
Yes, enterprises can add human approval checkpoints during QA, validation, and deployment stages within the SDLC automation platform.
