AI-DLC: faster software delivery with people in control.
AI-DLC is Wallue's delivery methodology for using AI across the software lifecycle while keeping human judgement responsible for critical decisions.
3 phases
Human review
Continuous context
AI-assisted
Three phases. One connected delivery process.
Inception
AI assists with discovery, requirements, user stories and architecture while the team validates intent.
- Requirements analysis with AI
- Architectural proposal
- Real-time prototyping
Construction
Engineers and AI work together on implementation, testing and review under human control.
- AI-assisted coding
- Automated testing
- Continuous code review
Operations
Production data, incidents and feedback become part of the context for the next improvement.
- Real-time monitoring
- AI identifies errors and suggests improvements.
- Continuous optimization
Plan. Clarify. Decide. Implement.
The same pattern repeats for each meaningful unit of work.
AI proposes a plan
Based on the available business and technical context.
AI asks for clarification
Missing assumptions and ambiguous intent are surfaced early.
People decide
The team validates, changes or rejects the proposed direction.
AI assists implementation
Engineering work proceeds after the required human decisions are clear.
What AI-DLC looks like in practice.
Why AI-DLC matters.
Less repetitive engineering work
AI can assist with analysis, implementation, tests and documentation so engineers focus on judgement-heavy work.
Human control
AI supports the work; experienced people remain accountable for critical decisions.
Quality built into the flow
Testing, review and security checks become part of the delivery loop rather than an afterthought.
Context compounds
Requirements, decisions and operational feedback can inform later work instead of being lost between phases.
How we introduce AI-DLC
Map the current delivery flow
Tools, bottlenecks, review steps and governance.
Choose a controlled pilot
Start in one product area or delivery stream.
Introduce the methodology
Adapt AI-DLC to the customer's tools, controls and engineering standards.
Measure and scale
Expand only after the team sees useful, repeatable value.
FAQ
Want to see how AI-DLC fits your engineering team?
We can review one delivery flow and identify where AI can accelerate the work without weakening human control.