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Back in April, I wrote about the verticalization of coding agents by comparing OpenAI’s Codex and Claude Code . Since then, I haven’t really used Codex — Claude Code just keeps getting better and better. But now there’s a new contender in the mix: Google’s own Gemini CLI , which (as the name implies) is powered by Gemini 2.5 Pro . Gemini CLI is very similar in usage to the other two, with one potential advantage (or at least I hope so): it should be an expert in all things Google and Google Cloud. That’s important to me, since I host everything in Google Cloud. That said, the real trigger for trying out Gemini CLI came from a different direction:  Manus . Manus is a Perplexity-style, AI-powered workflow builder. I’m not entirely sure how to categorize it, but you can prompt it with complex tasks and it delivers structured documents. I’ve used it to create presentations and parts of a business plan, and I’ve found it surprisingly effective. Now, my website was built dur...

Yesterday, OpenAI released Codex, a response to Anthropic’s Claude Code. Here’s a summary from ChatGPT what they actually do:  Anthropic’s Claude Code On February 24, 2025, Anthropic quietly rolled out Claude Code, a command‐line interface built atop its Claude 3.7 Sonnet model. Designed to “live in your terminal,” it ingests your codebase context and lets you invoke natural‐language commands—everything from scaffolding new modules to refactoring existing functions—without leaving the command line. By embedding its own LLM at the core of the developer workflow, Anthropic ensures feature parity between the model’s evolving capabilities and the tool’s UX. OpenAI’s Codex CLI Just weeks later, on April 16 and 17, 2025, OpenAI published its open‐source Codex CLI, bringing the latest OpenAI reasoning engines straight to the shell. Out of the box, it supports multimodal inputs—text, screenshots, even hand‐drawn diagrams—and provides a granular approval workflow (suggest, auto‐edit, full‐a...

In the past few months, I've embarked on an experiment that has fundamentally changed how I approach software development. I've been "vibe coding" - essentially directing AI to build software for me without writing a single line of code myself. This journey has been eye-opening, and I'd like to share what I've learned and where I think this is all heading. My Vibe Coding Journey I started vibe coding with Claude and Anthropic's Sonnet 3.5 model, later upgrading to Sonnet 3.7, Claude Code, and other tools. My goal was straightforward but comprehensive: create a CRM system with all the features I needed: Contact management (CRUD operations, relationships, email integration, notes) Calendar management (scheduling meetings, avoiding conflicts) Group management for organizing contacts A campaign system with templates A standalone application using the CRM's APIs for external contacts to book meetings direct The technical evolution of this project was inter...