Question 1

What is AI-SDLC?

Accepted Answer

AI-SDLC is our approach to software development where every phase of the Software Development Life Cycle is augmented by artificial intelligence — from requirements analysis through deployment and monitoring. It is not about replacing developers, but amplifying their capabilities.

Question 2

How does AI improve code quality?

Accepted Answer

AI coding assistants catch bugs, security vulnerabilities, and anti-patterns in real-time during development. AI also generates comprehensive test suites that achieve 80%+ coverage, and predicts which code changes are most likely to introduce defects.

Question 3

Do I need to rebuild my existing application?

Accepted Answer

No. Our AI Integration and Modernization service injects AI capabilities into your existing stack without a full rewrite. We work with your current architecture and incrementally introduce AI augmentation where it delivers the most value.

Question 4

What technologies do you use?

Accepted Answer

We use modern, open-source-first technologies including TypeScript, Next.js, PayloadCMS, and cloud-native infrastructure. For AI, we leverage leading models and frameworks including Claude, GPT, and custom-trained models tailored to specific development tasks.

Question 5

How do you measure the impact of AI-SDLC?

Accepted Answer

We track concrete metrics: development velocity (typically 2-5x improvement), defect rates (70% reduction post-deployment), time-to-market (50% shorter), test coverage, deployment frequency, and mean time to recovery. Every engagement includes baseline measurement and ongoing tracking.

Question 6

How do you handle data security and privacy?

Accepted Answer

Security is built into our AI-SDLC from day one. AI scans for vulnerabilities during development, not after. We follow OWASP best practices, encrypt data at rest and in transit, and can work within your existing security policies and compliance requirements.

Frequently asked questions