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.

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Explore the Framework
Specialized AI Agents
+
Tool Integrations (MCPs)
Pipeline Commands
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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.

System Overview Architecture Codebase Map DB Model High-Risk Areas Tech Stack

Agent Role

Agents operate with defined personas, objectives and output formats.

Role Persona Objective Responsibilities Output Format

Agent Skills

Specialized capabilities tuned for each role, from legacy analysis to QA scoring.

Legacy CF Analysis Code Review QA Test Design Impact Analysis Risk Scoring

Rules & Guardrails

Enterprise-grade governance baked into every agent execution, safe by default.

Read-Only DB Safety Coding Standards Architecture Guards Workflow Governance

MCPs (Tool Access)

Agents connect to your real development toolchain, not simulated environments.

JIRA Git Database Figma Playwright SonarQube JMeter Lighthouse

Pipeline Commands

Invoke entire delivery pipelines with a single command from dev to QA to debug.

/start-dev /start-dev-rework /start-qa /start-debugger
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
Agent 01

Requirements Agent

Agent 02
Agent 02

Architect Agent

Agent 03
Agent 03

Coding Agent

Agent 04
Agent 04

Code Reviewer

Agent 05
Agent 05

Security Reviewer

Agent 06
Agent 06

QA Agent

Agent 07
Agent 07

Code Conflict Resolution

Agent 08
Agent 08

Debugger

Pipeline Commands - Trigger Full Workflows Instantly

/start-dev

Full development pipeline from requirements to working code

/start-dev-rework

Feedback and defect fix pipeline - targeted rework flow

/start-qa

Initiates automated test design and execution process

/start-debugger

Launches AI-driven root cause analysis and debugging

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
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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.

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