Engineering Dev Logs on shipping compliance-grade systems in the age of AI.
AI Technology Generalist · Practitioner. Builder. Advisor.
I'm Saravanan — with over 20 years in enterprise engineering, 50+ production-deployed applications, and AWS Community Builder. I write field notes on Sovereign AI, AI-SDLC, and what AI-assisted engineering actually looks like when the discipline has to hold.
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Latest Dev Logs
Featured this week + recent essays.
Two Years of AI-Assisted Code Development. Here Is What I Learned and Built.
Field notes from two years of building 50+ production apps with AI tools — and how every lesson from that journey shaped the blog you are reading right now.
The Risk of Shipping AI-Built Apps With Unresolved Dependency Vulnerabilities
Why zero known vulnerabilities matters for AI-built SaaS, and a safe npm audit workflow using overrides instead of npm audit fix --force.
LLM-Only vs RAG GenAI Apps: Architecture Impacts Cost, Quality, Trust
Part 2 of the GenAI engineering series. When to use LLM-only, when to use RAG, and how poor architecture decisions increase token cost, latency, and reliability issues.
Topics
Private GPT, air-gapped LLMs, and regulated AI infrastructure.
SOC2/ISO patterns, zero-trust, secrets management, audit-ready IaC.
Internal Developer Platforms, golden paths, and supply-chain security.
CI/CD, IaC, deployment strategies, and operational excellence.
AWS, Azure, GCP — cost, resilience, and reference architectures.
Managed AI services, GPU platforms, model runtimes, and provider trade-offs across public and ecosystem-specific AI stacks.
Architecture, roles, and engineering practices for AI-based product development.
Process-first SDLC automation, review, and governance for AI-assisted delivery.
Field-tested practices, prompting discipline, and design-first methods for shipping with AI tools.
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