Archives

AI is intelligence sold in tokens. The real question is whether you know where your gaps are and if you're buying the right tokens to fill them.

Claude Code vs Codex CLI: key differences, real pricing, and why combining both catches security bugs neither finds on its own. Three workflows from daily use.

My 128GB RAM Mac was maxed out. I used Claude Code to diagnose the problem — and discovered that Activity Monitor is the wrong tool for modern dev workflows.

I used one AI to snitch on another AI's code. Codex audited Claude Code's codebase, found seven findings, three marked Critical. Only one actually mattered.

I got roasted for my Hexo blog looking like it was from 2003. So I researched every static blogging framework worth considering in 2026, specifically for developers who build with AI agents.

Lessons learned from abandoning projects because end-to-end automation didn't work. In the GenAI era, automating parts with human-in-the-loop is the smarter approach.

A complete guide to AI coding agents in 2026: configuration files, subagent architectures, skills, and the Model Context Protocol.

Using Claude Code and Claude Web to analyze my iCloud folders, find bloat, and cut my monthly storage bill from $9.99 to $2.99.

Why the fear of AI replacing jobs is misplaced. The real shift is that prompting, validating, and iterating with AI is becoming the new universal engineering skill.

How I optimized my Hexo blog from a Lighthouse score of 79 to 94 by automating image compression (WebP), enabling lazy loading for images and scripts, and configuring proper cache headers.

Jensen Huang's advice on using AI isn't about prompts, it's about ownership. Learn how to ask the right questions to turn AI from a tool into a career multiplier.

A deep dive into the modern serverless tech stack (Hexo, AWS S3, CloudFront) and the AI-first workflow used to build and maintain this blog.

How I consolidated ai.saurav.io and cloud.saurav.io into a single domain using AWS CloudFront Functions for managing 301 redirects at the edge.

Experiencing the speed of AI-assisted development: building a serverless app, debugging CI/CD, and deploying a portfolio site in under an hour with AI agents.

Comparing the peak hype cycles of Cloud Computing vs. AI: why AI's direct user impact and media speculation drive even higher public engagement.

Why User Experience (UX) is the key differentiator for AI applications, exploring how great design separates successful AI tools from the rest.

Why Human-in-the-Loop (HITL) workflows are evolving from simple safety checks to strategic advantages in the era of sophisticated AI agents.

A short reflection on the rise of LLM-based AI Agents and the prediction of a future populated by trillions of autonomous digital workers.

Streamlining Cloud App Development by combining ChatGPT's code generation with the Serverless Framework to instantly deploy a Python-based DynamoDB API.

A roundup of essential AI tools for creators and developers, including ChatGPT, Midjourney, Eleven Labs, and RunWayML.

A personal perspective on why the AI hype cycle is more justified than the Blockchain bubble, highlighting AI's broader applicability, immediate user impact, and integration potential.

Exploring early AI image generation tools like DALL-E 2, Stable Diffusion (DiffusionBee), and Midjourney, and their rapid evolution.

Troubleshooting notes for common AWS CDK Workshop issues, including CLI version mismatches, TypeScript configuration errors, and CodeCommit branch matching.

How to use AWS CloudFormation tag inheritance to automatically propagate tags to all supported resources in a stack for better cost allocation and management.

Drawing analogies between AWS CloudFormation and Soccer: comparing stacks to games, resource limits to player rosters, and updates to substitutions.

The first post on my cloud engineering blog. Why I decided to start writing about AWS, cloud architecture, and the technologies shaping modern infrastructure.