Category: Agentic AI
Reflection Agents in AI: Teaching Models to Think Twice
May 23, 2025
A Deep Dive into How AI Can Learn From Its Own Mistakes—In Real-Time AI agents have become increasingly capable: they write, summarize, code, search, and even coordinate tasks. But …
ReAct Agents: Blending Reasoning and Action in AI Systems
May 19, 2025
What Is a ReAct Agent? The ReAct framework stands for Reason + Act, and it represents a paradigm shift in how large language models (LLMs) like GPT-4 interact with …
Mastering Prompt Engineering: A Comprehensive Guide with Examples
May 8, 2025
Introduction In the rapidly evolving landscape of artificial intelligence, prompt engineering has emerged as a pivotal skill. It involves crafting effective inputs (prompts) to guide large language models (LLMs) …
A Complete Roadmap to Build AI Agents
May 5, 2025
Agentic AI represents one of the most profound shifts in how we conceive and build intelligent systems. Moving beyond simple prediction engines or task-specific models, agentic AI introduces autonomy, …
AI Pair Programming: The Future of Collaborative Software Development
April 28, 2025
In the not-so-distant past, pair programming was a scene straight from a startup’s open office: two developers hunched over a single keyboard, brainstorming, arguing over best practices, and together …
The Blueprint of Intelligence: Design Patterns in Agentic AI
April 15, 2025
The buzz around agentic AI is growing louder—and for good reason. While traditional LLM apps respond to prompts, agentic systems think, act, and coordinate. They don’t just generate text—they …
Kompact AI and India’s Bold Entry into the Generative AI League
April 14, 2025
India’s Generative AI Moment India has long been the world’s technology back-office, powering global digital transformation from behind the scenes. But now, with the rise of foundational models and …
Understanding LLM + Tool Use = Agent Behavior
March 28, 2025
Precap LLMs are powerful, but they aren’t agents by themselves. Tools let LLMs interact with data, systems, and the real world. Combining LLMs with tools enables agent behavior: autonomy, …
Will Autonomous Agents Replace Knowledge Workers—or Assist Them?
March 27, 2025
Precap: Autonomous agents are rising fast—but won’t fully replace knowledge workers. Instead, they’ll augment our abilities—if we learn to use them. The future belongs to those who can collaborate …
Tools of the Trade: A Beginner’s Guide to LangChain, AutoGen & LangGraph
March 26, 2025
Artificial Intelligence is evolving fast—and so is the developer toolbox that powers it. Gone are the days when interacting with an LLM meant typing a prompt into a box …