ADLC Framework

We Don't Just Use AI. We Built a System Around It.

ADLC is our spec-driven orchestration framework — 6 specialised agents, one per SDLC stage, coordinated by a central Orchestrator. Consistent code, enforced patterns, and AI speed without the chaos.

37%

Faster delivery

Fewer reviews

<5%

Pattern drift

65%

Less token spend

The Problem

AI Without a System Creates Faster Technical Debt

Most teams using AI are trading one kind of debt for another.

Code Inconsistency

Every LLM call is stateless. Same question, different naming conventions, different patterns — all in one codebase.

40%

of AI teams see consistency degrade within 3 months

Pattern Drift

Without explicit constraints, agents invent their own file structures and API conventions per feature.

30%

more review time fixing AI-generated pattern violations

Token Waste

Stuffing entire codebases into context windows. Expensive, slow, and no proportionally better output.

2–3×

token overhead vs structured spec-driven prompting

The Difference

Traditional Dev vs ADLC-Driven Development

Side-by-side: where engineering time goes, and what changes with a system behind the AI.

Without ADLC

35%dev time on boilerplate
3.2×review cycles per feature
6 moto onboard a senior dev
40%of bugs detectable at review time

With ADLC

~0%boilerplate by hand
1.1×review cycles from spec
2 wksto productive contribution
78%of bugs caught before review
The System

6 Agents. 1 Orchestrator. Zero Chaos.

Every agent receives a structured spec — not a raw prompt. Every output is verified before passing to the next stage.

Orchestratormanages state · routes tasks · enforces quality gates

SpecAgent

Requirements → Spec

ArchAgent

Spec → Architecture

CodeAgent

Spec → Code

ReviewAgent

Output → Quality Gate

TestAgent

Spec → Test Suite

DocAgent

Spec → Living Docs

Spec-Driven

Agents work from structured specs — not raw prompts. No hallucinated APIs.

Fully Orchestrated

Outputs validated before passing forward. Engineers review decisions, not execution.

Pattern-Enforced

Architecture encoded before code is generated. Consistency is structural.

Outcomes

What ADLC Delivers

Measured across real client projects. Not promises — outcomes.

Faster Sprint Velocity

37% more features shipped per sprint. Engineers solve real problems, not plumbing.

Built-In Quality Gates

ReviewAgent checks every output against spec and OWASP rules before a PR opens.

Zero Pattern Drift

Every file looks like the same senior engineer wrote it. Every sprint.

Single Source of Truth

Spec → Code → Tests → Docs. When requirements change, the cascade is automatic.

Lean Token Usage

65% fewer tokens. Lower cost, faster inference, better output quality.

Living Documentation

Docs generated from spec. No tribal knowledge that walks out the door.

What your competitors are doing

Shipping AI-generated code
without a system behind it.

Raw prompts. No architecture constraints. No spec. Fast to ship the first sprint, impossible to maintain by the third.

Pattern violations per sprint

Growing<5%

Review cycles per feature

3.2×1.1×

Token cost vs structured prompts

2–3× moreBaseline
What ADLC gives you instead

A codebase that gets
better with every sprint.

Every engineer on our team works within the ADLC system from day one. No other outsourced engineering partner is doing this at scale.

Build FAQ

How We Build — FAQ

Common questions about our ADLC framework, tech stack, and engineering practices.

ADLC (AI-Driven Development Lifecycle) is Kwiqwork's proprietary framework that structures 6 specialized AI agents across every stage of the software development lifecycle — from spec and architecture to code generation, review, testing, and documentation. It delivers 37% faster velocity with zero pattern drift across the codebase.

Ready to Ship With ADLC?

Book a 30-minute call. We'll walk you through exactly how ADLC would apply to your project — no obligation.