AI
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Over-Prompting Is the New Overengineering
AI is great at getting you started—but terrible at knowing when to stop. Most developers fall into the trap of over-prompting, chasing perfect output while burning time, tokens, and patience. The real skill isn’t better prompting—it’s knowing when to stop asking and start editing. Continue reading
AI, AI limitations, AI Tools, automation, build in public, cost optimization, Developer Productivity, developer workflow, diminishing returns, editing vs prompting, efficiency, human in the loop, large language models, overprompting, productivity, Prompt Engineering, Software Development, Tech Trends, token usage, workflow optimization -
Unlocking Semantic Search with Vector Embeddings
How Machines Understand Meaning — And How You Can Use It for Smarter Search 1. Introduction: Why Do We Need Embeddings? Traditional search engines rely on keyword matching. If your search query includes the words “best pizza,” it looks for documents with those exact words. But what if a document talks about “top-rated Italian food”… Continue reading
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Mastering Software Engineering: Key Lessons for Growth
In the ever-evolving world of software development, becoming a better software engineer is not just about mastering code. It’s about growing as a problem-solver. It also involves being a collaborator and a lifelong learner. The journey is as much about mindset and habits as it is about technical prowess. Here, I share lessons and strategies… Continue reading
AI, business, career growth, Clean Code, coding practices, Collaboration, Continuous Learning, debugging, domain knowledge, growth mindset, Leadership, mentorship, open source, problem solving, self-improvement, side projects, soft skills, Software Development, Software Engineering, software fundamentals, system design, Teamwork, technical skills, technology -
Why Prompt Engineering Isn’t a Reliable Skill
Prompt engineering is tweaking inputs to get desired outputs from AI models like ChatGPT. It’s not engineering—it’s trial and error. Why Prompt Engineering Falls Short: 1. No Foundational Principles: Unlike engineering, it lacks structured techniques or frameworks. It’s about guessing, not systematic problem-solving. 2. Unpredictable and Non-Reproducible: A prompt that works today can fail tomorrow.… Continue reading
Umamaheswaran 