Transform How Your
Team Builds Software
AIDLC.DEV trains and advises software teams to adopt the AI-native development process — shipping faster, with higher quality and less burnout.
The Methodology
What is AIDLC?
AIDLC — the AI-native Development Lifecycle — is a structured approach to embedding AI tools and workflows into every phase of software delivery, from product discovery to production monitoring.
Unlike ad-hoc AI adoption, AIDLC gives teams a repeatable framework: clear roles, tool integrations, quality gates, and feedback loops that compound over time.
The result is not just faster shipping — it is a fundamentally more capable engineering organisation that learns and improves with every release.
The AIDLC Lifecycle
The Value
Why Adopt AIDLC?
Ship Faster
Reduce cycle time by 40–60% with AI-native workflows that eliminate bottlenecks from planning to deployment.
Reduce Risk
AI-assisted code review, automated testing generation, and intelligent monitoring catch issues before they reach production.
Upskill Your Team
Structured training that sticks — hands-on programs designed for real engineering teams, not theoretical slides.
Competitive Edge
Early adopters of AI-native development compound their advantage. Don't wait for the market to force the change.
What We Offer
Our Services
Training Programs
Hands-on programs that turn your engineers into AIDLC practitioners — fast.
- AIDLC Fundamentals Workshop (1 day)
- Engineering Bootcamp (5 days, intensive)
- Self-Paced Certification Course
Consulting
Expert advisory and embedded consulting to accelerate your AI transformation.
- Advisory Retainer — strategic guidance
- Embedded Consulting — hands-on delivery
- Org Transformation — full-programme
AI-Native Forward Deployed Engineer Program
First 10 get the Founders Scholarship — completely free, including registration.
The People Behind AIDLC
Meet the Team
Vinod Pai
Industry Leadership & Career Mentor
With over two decades shaping software teams across global organisations, Vinod brings the strategic perspective that turns good engineers into great leaders. His mentorship focuses on navigating the human side of technology adoption — helping individuals and teams find their footing in a rapidly shifting industry.
Nithesh Narayanan
Program Architect & AI Engineering Lead
Nithesh has spent 15+ years designing and delivering enterprise-scale software systems. He architected the AIDLC methodology from the ground up, translating hard-won engineering lessons into a practical framework that teams can adopt immediately — without disrupting what already works.
Aswin Hari Kumar
AI Native Principal Engineer
A hands-on engineer with 10+ years across the full stack, Aswin bridges the gap between theory and real-world delivery. He leads the technical curriculum, ensuring every workshop and bootcamp is grounded in the tools, patterns, and trade-offs engineers face in production every day.
Get Started
Ready to modernise your dev workflow?
Book a free 30-minute discovery call. We will assess where your team is today and outline a clear path to AI-native delivery.
Book a Free Discovery Call