AI in Engineering

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AI agent engineering

What Is AI Agent Engineering? A Complete Guide to Building Intelligent AI Agents

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A chatbot waits for your question. An automation waits for a predefined trigger. An AI agent can take a goal, figure out what needs to happen, use the right tools, make decisions along the way, and take action. That difference is changing how enterprises think about software. Instead of building applications that only respond to

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Build a Reasoning LLM from Scratch

Build a Reasoning LLM from Scratch: A Complete Guide to GRPO, RoPE & Pretraining.

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Introduction A reasoning LLM is a language model trained not just to predict the next word, but to work through a problem step by step and verify its own conclusions before answering  the approach behind models like OpenAI’s o1 and DeepSeek’s R1. This guide condenses a practical path to building a compact 300–400M parameter GPT-style

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AI Debugging in ADLC: Catching Production Bugs Before They Exist

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Introduction Production bugs are expensive—but the real cost isn’t just fixing them. It’s lost revenue, damaged trust, and engineering time spent firefighting instead of building. According to IBM’s Cost of a Data Breach Report (2023), issues caught in production can cost up to 15x more than those identified during development. The uncomfortable truth? Traditional debugging

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