Previous Work
Work that shows how DevDelta ships
Representative builds that show how DevDelta scopes, ships, and hands off scalable software.
Selected case studies
Proof of execution, not just a process pitch.
Different products. Same model. Clear scope. AI-assisted delivery. Production-first decisions.
Case studies
2
Delivery model
AI-assisted
Priority
Scale-ready
Handoff
Production-ready
Selected projects
Representative builds that match our current delivery model
Different product types. Same delivery model. Tight scope. Strong foundation.
What shipped
- Mapped activation around first value
- Shipped guided setup, tasks, and status views
- Used AI-assisted iteration and QA to shorten review cycles
Outcome
The team got a clearer onboarding flow and a foundation that could support larger clients.
Next case study
What shipped
- Designed around reviewable AI output
- Built summaries, action capture, and activity history
- Kept the first release narrow to validate trust before scaling
Outcome
The first release reduced manual wrap-up work and created a solid base for broader AI workflows.
What stays consistent
A method that scales
The product changes. The execution model stays reliable.
- The first release balances proof and foundation
- AI is used to accelerate iteration, not hide weak product decisions
- Design and engineering stay in one loop
- Every build ends with clear handoff and next steps