My 2025 Web Dev & AI Tech Stack

Technology evolves fast. Staying ahead means constantly learning, experimenting, and adjusting the tools you rely on.

Here’s a snapshot of my current 2025 tech stack — the technologies I use daily to build web applications, design scalable architectures, and integrate AI into real-world solutions.

This list is dynamic, it might evolve during the year, but I wanted to share it as a reference for anyone interested in modern web development and AI integration.

Table of contents

Web Development Core

Frontend: React Ecosystem

• React
  Still the heart of modern frontend development.
  I focus heavily on modular architectures, component-driven design, and state isolation.

• Next.js
  My go-to framework for production-grade applications.
  I leverage:

  • Static Site Generation (SSG) for performance.
  • Server-Side Rendering (SSR) when needed for SEO or dynamic content.
  • API Routes and Edge Functions for lightweight serverless backend logic.
  • Incremental Static Regeneration (ISR) for hybrid flexibility.

• Astro
  A refreshing new approach for content-driven websites and hybrid applications.
  I use Astro when:

  • I want maximum performance with minimal JavaScript shipped to the client.
  • I’m building static-first sites that still need islands of interactivity via React, Vue, or Svelte components.
  • SEO and load times are critical.

• Vite (for React SPAs)
  For projects that don’t require a full Next.js stack, I use Vite for blazing-fast development and optimized builds.

UI Frameworks and Component Libraries

• Mantine UI
  My favorite choice for fast, elegant, and highly customizable UIs.

• Chakra UI
  Excellent for accessibility-focused projects and when building with a design system in mind.

• Radix UI
  Low-level, unstyled primitives for building headless components when I need full control.

State Management: Advanced Strategies

Libraries I Use

• Zustand
  Lightweight, minimal boilerplate, and perfect for modular state slices. I use it heavily, often combined with Immer.

• MobX and MobX State Tree (MST)
  For more structured, complex apps where data trees and actions are essential.

• Valtio
  Proxy-based reactivity for simpler apps with direct state mutation patterns.

• Immer
  Always part of the toolkit for managing immutable state updates efficiently.

AI & LLMs Integration

One of my most exciting focus areas right now is the integration of AI into web solutions.
Here’s the stack I’m working with:

APIs and Models

• OpenAI
  Core API integrations for chat, completions, embeddings, and fine-tuned models.

• Anthropic (Claude)
  Powerful alternative for safer, more context-aware interactions.

• Gemini (Google DeepMind)
  Useful for creative tasks and multimodal experiments.

• Ollama (for local models)
  When privacy or data residency matters, I explore local LLM deployments.

Technologies Around LLMs

• Retrieval-Augmented Generation (RAG) Systems
  Enhancing LLMs by connecting them with live external data sources, documents, and custom indexes.

• Vector Databases
  Experimenting with Pinecone, Weaviate, and lightweight local options for semantic search integrations.

• LangChain
  For chaining LLM prompts, APIs, and external data into coherent applications and workflows.

• Embeddings
  Using OpenAI Embeddings, HuggingFace Sentence Transformers, and custom-trained vectors for smarter semantic search.

Privacy-Centric AI

I’m actively researching local LLM deployments and edge-based inference to build privacy-respecting solutions, especially for future business tools and internal apps.

Backend and API Layer

• REST APIs and GraphQL integrations.
• Headless CMS for content management when needed.
• Serverless functions (Vercel, AWS Lambda) for lightweight backend logic.

Observability and DevOps

• DigitalOcean VPS + Docker
  For more customized server setups when needed.

• Vercel
  Fast and reliable deployment of modern frontend apps.

• PostgreSQL and SQLite
  Reliable choices for relational databases, depending on the project scale.

• Prisma and Drizzle ORM
  Clean, type-safe database access for Node.js projects.

Final Thoughts

In 2025, the tech stack is not just about which tools you use, but how you combine them creatively to solve real-world problems.

For me, it’s about:

• Staying agile.
• Prioritizing performance and scalability.
• Integrating AI intelligently where it amplifies user experience and development productivity.

I’ll keep evolving this stack and I’ll keep sharing the journey.

Thanks for reading!