Personal reflections of everyday life. Started May 2025. X: @paperplaneflyr...
The age of bolting on a machine-learning module and calling it “AI” is fading. As organizations build next-generation platforms, particularly in the new GenAI era, the existing legacy architecture itself must evolve. Enter AI-native architecture, systems designed from the ground up with intelligence at their core, not added later as a feature. What is AI-Native Architecture? At its simplest: an…
Artificial Intelligence (AI) is no longer a futuristic concept but a transformative force reshaping the travel and transportation industries. From personalizing traveler journeys to optimizing complex logistics networks, AI is driving significant improvements in efficiency, safety, and customer experience. This report details the key impacts, supported by current statistics and market data. Key…
The book Principles of Building AI Agents (2nd Edition) by Sam Bhagwat is short and explains concepts in really straightforward ways. Here are some simple notes from part 1 that I’ve found helpful AI apps today don’t require building a model from scratch—you just need to know how to use LLMs effectively. Big vs Small Models Big models → more accurate, but slower & costly Small models → faster &…
With ongoing frenzy of AI products and companies, the job roles are not predefined. Earlier, a software engineer was expected to follow decades of theory and processes that were etched in stone by older folks who are considered pioneers of the industry. The rules of the job have been transformed, and new engineers are expected to work with tools that defy traditional software engineering approach.…
As AI continues to sweep through the tech industry, there is a silent rise of the AI developer. We have grown to separate out developers based on skills such as frontend developer, backend developer, or other-skill developer. These skills are no longer exclusive to one domain of developers but rather converging as new developers take up AI tools for their jobs. Rather than following depth on one…
Long ago, a developer/programmer was supposed to think, think hard about a problem and then proceed to systematically unwrap the layer of complexities and then proceed to implement it. The massive surge in tools that write code with only minimal prompts has made developers think far too little about the problem. Instead, a high-level description of the problem is presented to the AI tool, and…
We see numerous tools and apps entering the market that incorporate AI capabilities. This trend will continue, but this won't exactly replace the existing enterprise applications. Many people see AI and its associated software only from the perspective of gaining quick users and fandom. There exists a whole universe of applications and services that run the enterprise world. These applications are…
The world of Generative AI is evolving at a rapid rate, and this evolution has been further accelerated by the introduction of a new protocol: the Model Context Protocol. The Model Context Protocol (MCP) is an open standard designed to enable seamless, secure, and real-time communication between AI models and external data sources or tools. At the heart of this protocol is the MCP server, which…
As someone who has been working in the IT industry for quite some time, it is common for developers who work long hours often forget to catch up with what is happening around. This leads to a gap in the way they understand or formulate any solutions. Recently, I was talking with someone from my team about various improvements that can be implemented in the product, and I was surprised that this…