Dinesh Kuppan

Enterprise adoption of neuro-symbolic AI. Case studies, challenges, and what's next.

Shipping neuro-symbolic systems at scale. Deployment patterns, monitoring, and handling failures.

When LLMs aren't enough, add formal logic. Hybrid reasoning for problems that need provable correctness.

A practical guide to measuring developer experience using friction logs, feedback loops, and automated dashboards with Apache DevLake. Includes actionable metrics, setup instructions, and common pitfalls.

Running LLMs locally without cloud bills. Stack for knowledge management, research, and AI-assisted learning.

Building AI agents that reason over knowledge graphs. Concrete patterns for agentic decision-making.

Explore how engineering teams distinguish between traditional AI use cases and the emerging wave of Generative AI use cases, with real-world examples and practical categorization tips from hands-on system design debates.

Building knowledge graphs for AI reasoning. From schema design to querying with LLMs.

The convergence of neural networks and symbolic reasoning. Why pure LLMs hit a ceiling and how to combine both.

When reality is too expensive to test. How to verify AI reasoning and decision-making in simulation.

Using Claude Code as your development partner. Skills, custom plugins, loops, and shipping faster.

How to ship AI features without burning infrastructure budget. Models, guardrails, costs, and the patterns that actually work at scale.

How to ground LLMs in your data. When to use RAG, when to use graphs, when to reach for agents and tool protocols.

Why decoder-only transformers dominate GenAI. Architecture decisions that let one model do a thousand tasks.

Why calling GenAI just 'AI' misses what actually changed. The discontinuity that matters for your next system.

Discover the wide variety of video game genres, from immersive role-playing adventures to fast-paced shooters. This guide provides an overview of each major type of game, their key features, and what makes them unique.

This page explains how to create and manage Python virtual environments across Linux, Unix, macOS, and Windows. Virtual environments isolate dependencies for each project, preventing version conflicts.

Getting started with Linux involves several steps. In this guide we will walk you through each step to ensure your system is set up properly with all necessary packages and dependencies.

A comprehensive guide to setting up Git for the first time, including user configuration and essential setup steps for developers.