Personal Reflections & Tech Insights

Blogs

Knowledge Graphs: AI's missing context layer

Large language models often struggle with specific, interconnected facts. Knowledge graphs provide the structured context AI needs for deeper reasoning and reduced hallucination.

When Prompt Engineering Isn't Enough for LLM Apps

While prompt engineering is powerful for LLM apps, fine-tuning offers better consistency and style for niche tasks. Understand when to invest in it.

Why Vector Databases are Crucial for RAG

Traditional keyword search often misses context. Vector databases are changing how applications understand meaning, making them essential for semantic search and Retrieval Augmented Generation (RAG).

Building Intelligent Forms with AI for Validation

Explore how AI can enhance user input validation in forms, making them smarter and more efficient.

Skip the Server: Browser AI for Web Apps

Running AI models directly in the browser offers big wins for privacy, latency, and cost. Learn when on-device intelligence makes sense for your web applications.

AI Agents: Beyond Simple API Calls in Web Apps

AI agents move past basic API calls, bringing more autonomy to web applications. Learn how they work and where the real challenges lie.

AI Code Reviews: An Assist, Not a Replacement

AI-driven code reviews can handle boilerplate checks, freeing human reviewers for deeper architectural and logic discussions. It's a powerful assistant, not a human replacement.

When AI Generates Your UI Components

AI-powered tools promise to automate UI component generation within design systems. This sounds great, but the reality involves significant tradeoffs between speed, control, and semantic accuracy.

My secret weapon for blazing fast web apps: AI

Performance is always a battle. We've tried everything, but AI is changing the game. I'll share how we're using it to predict user needs, optimize bundles, and deliver lightning-fast experiences without constant manual tweaking.