Kiran
KV.

20 years building enterprise Java systems — and now at the forefront of AI-driven development. I combine deep expertise in Spring Boot, Hibernate, and PostgreSQL with daily use of Claude, GitHub Copilot, and Cursor to ship faster, smarter, and better. I write about what I learn at this intersection.

AI tools I use daily 🟠 Claude 🔵 GitHub Copilot 🟢 ChatGPT 🟣 Cursor 🔷 Gemini

Recent Writing

Java, databases, backend architecture & AI-driven development
AI Development

How I Use Claude & Copilot to Ship Enterprise Java Faster

A practical breakdown of my AI-assisted development workflow — from architecture brainstorming with Claude to real-time code completion with GitHub Copilot in Spring Boot projects.

10 min read
Spring Boot

Spring Boot Internals: How Auto-Configuration Really Works

Peeling back the magic of @SpringBootApplication and walking through the full auto-configuration lifecycle with real code examples.

11 min read
PostgreSQL

Query Tuning in PostgreSQL: From Slow to Sub-Millisecond

A practical guide to EXPLAIN ANALYZE, index strategies, and the query planner decisions that made a production system 40× faster.

9 min read
Java / J2EE

Enterprise Java Patterns That Still Hold Up in 2026

Revisiting classic J2EE design patterns through a modern lens — what's still relevant, what's been superseded, and what we misunderstood all along.

14 min read
Who I am

Lead developer
by trade, writer
by compulsion.

Building software that
actually lasts.

Hi, I'm Kiran — a Principal Software Engineer at Magnit Global based in the San Francisco Bay Area. With over 20 years across the full software development lifecycle, I've led teams and architected systems that power real business outcomes.

My expertise centres on the Java/J2EE ecosystem — Spring Boot microservices, Hibernate ORM, and relational databases (PostgreSQL, MySQL, Oracle SQL). I'm particularly drawn to the craft of client/server architecture and building applications that are both maintainable and performant at scale.

Beyond code, I care deeply about the human side of engineering: clear documentation, honest communication, and growing the people around me. I believe the best software is built by teams who trust each other.

This site is my corner of the internet — a space to write about everything I've learned over a decade in the industry, share ideas, and connect with people who care about the craft.

Career Timeline
Present
Principal Software Engineer
Magnit Global · San Francisco Bay Area
Prior
Lead Java Developer
Enterprise Web & Mobile Applications
Earlier
Senior Software Engineer
Full-Stack Java / J2EE
Start
Software Engineer
Client/Server & Web Development
AI & Developer Tooling Experience

Over the past few years, I've integrated AI-assisted development tools deeply into my engineering workflow. From intelligent code completion to autonomous pair-programming, these tools have meaningfully changed how I approach complex problems, write documentation, and review code.

🟠
Claude (Anthropic)
AI Assistant · LLM

My go-to AI assistant for architecture discussions, writing detailed technical documentation, debugging complex Spring Boot issues, and thinking through system design trade-offs. Claude excels at long-context reasoning — invaluable for large codebases.

Architecture Review Documentation Debugging System Design
🔵
GitHub Copilot
AI Coding Assistant · IDE Plugin

Integrated directly into VS Code for real-time Java code completion and Copilot Chat for contextual Q&A within the editor. Particularly effective for writing boilerplate Spring Boot controllers, JPA repository methods, and unit test scaffolding.

Code Completion VS Code Unit Tests JPA / Spring
🟢
ChatGPT (OpenAI)
AI Assistant · LLM

Used extensively for exploring unfamiliar APIs, drafting technical blog posts, and rapid prototyping of SQL queries and Hibernate mappings. Also valuable for code review explanations and generating test data in structured formats.

SQL Generation Blog Writing API Exploration Prototyping
🟣
Cursor
AI-Native Code Editor

An AI-native editor that understands the full project context. I use Cursor for large-scale refactoring tasks and when I need the AI to reason across multiple files simultaneously — great for migrating Spring XML configs to annotation-based setups.

Refactoring Multi-file Context Migration Editor
🔷
Google Gemini
AI Assistant · Multimodal LLM

Leveraged for GCP-related queries, analysing architecture diagrams, and getting quick answers on Google Cloud services that integrate with enterprise Java backends. Its multimodal capabilities are useful for reviewing ERDs and system diagrams.

GCP Integration Diagram Analysis Multimodal
🩵
Tabnine
AI Code Completion · Privacy-focused

Used in enterprise contexts where code privacy is paramount. Tabnine's ability to run locally and train on private codebases makes it the right choice for client projects with strict IP policies, while still providing meaningful Java autocompletion.

Local Model Privacy-first Java Enterprise
My philosophy on AI-assisted development

I treat AI tools as a force multiplier, not a replacement for engineering judgement. They're fastest when used for well-defined tasks — generating boilerplate, explaining unfamiliar APIs, or stress-testing an architecture idea. The real value comes when you know enough to critically evaluate what they produce. I always review, test, and own every line that ships.

Get in touch

Let's start
a conversation.

Whether it's a collaboration, a tech discussion, or just a hello — I read every message.

Send a message

Contact Info
Email [email protected]
Location San Francisco Bay Area, CA
Currently at Magnit Global
Response Time Within 48 hours
Open to Tech discussions, collaborations, speaking