Deliver Software Faster with the AI DLC Framework
An agentic delivery engine that replaces traditional SDLC bottlenecks with AI-orchestrated teams, from requirements to production.
Specialized AI Agents
+
Tool Integrations (MCPs)
Pipeline Commands
%
Knowledge Capture
The Problem We Solve
Traditional SDLC is Broken
Legacy delivery models create compounding bottlenecks. AI DLC eliminates them systematically.
Traditional SDLC Challenges
- Hard-to-understand legacy code
- Experience-driven, intuition-based debugging
- Siloed knowledge trapped with senior engineers
- Heavy accumulation of technical debt
- Manual testing risks and coverage gaps
- Slow feature development cycles
- Repetitive boilerplate work
- Senior dependency for architecture decisions
- Slow developer ramp-up on new systems
AI DLC Advantages
- Instant code understanding across any codebase
- AI-driven debugging with smart, contextual insights
- Continuous, automated knowledge capture
- Proactive tech debt reduction via AI refactoring
- Automated test generation with blast radius analysis
- Faster feature delivery through AI coding agents
- AI handles boilerplate - engineers focus on value
- Architect Agent provides design guidance on-demand
- Reduced ramp-up via living system documentation
Agent Construction Framework
Every Agent is Purpose-Built
Each AI agent in the DLC is constructed with five precision layers, ensuring context-aware, governed, and reliable delivery.
Context
Every agent is seeded with deep system knowledge before code is touched.
Agent Role
Agents operate with defined personas, objectives and output formats.
Agent Skills
Specialized capabilities tuned for each role, from legacy analysis to QA scoring.
Rules & Guardrails
Enterprise-grade governance baked into every agent execution, safe by default.
MCPs (Tool Access)
Agents connect to your real development toolchain, not simulated environments.
Pipeline Commands
Invoke entire delivery pipelines with a single command from dev to QA to debug.
AI DLC Orchestration
8 Specialized Agents. One Delivery Engine.
The AI DLC orchestrates a multi-agent team that mirrors the roles of a world-class engineering organization, running in parallel, governed, and continuously aligned.
Agent 01
Requirements Agent
Agent 02
Architect Agent
Agent 03
Coding Agent
Agent 04
Code Reviewer
Agent 05
Security Reviewer
Agent 06
QA Agent
Agent 07
Code Conflict Resolution
Agent 08
Debugger
Pipeline Commands - Trigger Full Workflows Instantly
Native Integrations via MCP
Plugs into Your Existing Stack
AI DLC agents connect directly to your tools via Model Context Protocol (MCP), with no rip-and-replace and no new workflows to learn.
JIRA
Git / GitHub
Database (Read-Only)
Figma
Playwright
SonarQube
JMeter
Lighthouse
Your Custom Tools
Engagement Models
How We Deliver
AI DLC is available as a layered engagement, from a focused pilot to a full delivery partnership.
AI Pilot
A focused proof-of-value on one workstream to validate impact on your codebase.
- One agent team configured for your stack
- 2–4 week engagement
- Measurable delivery metrics
- Readout + rollout plan
MOST POPULAR
Extended AI Team
A full AI-augmented delivery team embedded as your trusted partner for ongoing work.
- Full 8-agent orchestration deployed
- Legacy modernization support
- Continuous QA automation
- Knowledge capture & documentation
- Monthly delivery cadence reviews
Legacy Modernization
Targeted engagement to understand, refactor, and modernize your existing systems with AI.
- AI-driven codebase mapping
- Automated refactoring pipelines
- Tech debt reduction sprints
- Data migration risk analysis
Your AI Delivery Team is Ready. Are You?
Kadel Labs brings deep engineering expertise and the AI DLC framework to your team as a trusted extended delivery partner.