# GPT-5 Codex review, AI side hustle > Source: > Published: 2026-07-25 17:16:20+00:00 # GPT-5 Codex review, AI side hustle [Claude](/en/tags/claude/)Code: Which one actually ships code? Is the dream of a "one-click" AI side hustle dead? Most people treating AI coding like a vending machine—insert prompt, get app—are currently staring at a broken React build. The reality is that we've moved past simple autocomplete. We're now in the era of "Agentic IDEs" that can actually read your entire file tree, run terminal commands, and fix the bugs they just created. I spent the last three weeks jumping between the three biggest players in the AI coding space. I wanted to see which one could actually handle a complex task: building a real-time WebSocket dashboard with a PostgreSQL backend without me having to manually copy-paste errors from the terminal. ### The actual numbers on the "Big Three" I didn't just vibe-check these. I tracked how many "hallucination loops" (where the AI suggests a fix, it fails, and the AI suggests the exact same fix again) I hit per 100 lines of code. | Feature | Cursor (v0.44+) | Windsurf (Codeium) | Claude Code (CLI) | | :--- | :--- | :--- | :--- | | **Price** | $20/mo (Pro) | $20/mo (Pro) | Usage-based (API) | | **Context Handling** | [RAG](/en/tags/rag/)-based indexing | "Flow" (Deep Context) | Direct File Access | | **Speed (Apply)** | ~2-5 seconds | ~1-3 seconds | Instant (Text) | | **Loop Rate** | Moderate | Low | Very Low | | **Best Use-Case** | Generalist Dev | Heavy Refactoring | Rapid CLI Iteration | ### Why Cursor is the current baseline Cursor is basically VS Code with a brain transplant. It’s the gold standard right now because the "Composer" mode allows you to edit multiple files simultaneously. Last Tuesday, I used it to migrate a legacy Express API to Fastify. It handled about 80% of the boilerplate in one go. But here is the gripe: the indexing occasionally misses new files. I found myself having to manually `@` a file three times before Cursor realized it existed. It's a small friction point, but when you're in the flow, it feels like a speed bump. If you're looking for a place to share these kinds of workflow tweaks, checking out the [PromptCube homepage](/en/) is a good move since the community there obsesses over these micro-optimizations. ### Windsurf and the "Flow" obsession Codeium's Windsurf claims to have "Flow," which is their way of saying the AI stays in sync with your thoughts. In practice, it feels faster than Cursor. The "context awareness" isn't just indexing; it feels like the AI is actively watching your cursor move and anticipating the next file you'll need. I tried building a Python scraping tool with it. Windsurf caught a type error in a utility function before I even scrolled down to the line. That's the kind of magic that actually makes an AI side hustle viable—reducing the debugging phase from four hours to ten minutes. ### Claude Code: The CLI power trip Claude Code isn't an IDE. It's a terminal tool. It’s raw. It’s fast. It’s terrifying. Because it lives in the terminal, it has direct access to `git` , `npm` , and `pytest` . I gave it a prompt to "find the memory leak in the auth middleware and fix it." Instead of suggesting code for me to review, it ran the tests, saw the failure, read the logs, and applied the fix. It’s the most "agentic" experience I've had. The downside? It consumes tokens like a hungry beast. If you aren't careful, a few complex refactors can eat through your API credits faster than you can say "token limit." ### The GPT-5 Codex review myth Everyone is waiting for a "GPT-5 Codex review," but the truth is that the "Codex" branding is largely a relic. We are now in the world of frontier models like Claude 3.5 Sonnet and GPT-4o. If you're waiting for a specific "version 5" to start building, you're losing time. The real "leap" isn't coming from a model update—it's coming from the *tooling* around the model. A model is just a brain in a jar. Cursor, Windsurf, and Claude Code are the hands and eyes. The most productive developers I know aren't chasing the newest model version; they're mastering [MCP](/en/tags/mcp/) (Model Context Protocol) to give their AI tools access to their actual databases and documentation. ### Turning code into cash (The side hustle reality) Let's be honest: "AI side hustle" has become a buzzword for "low-effort wrapper apps." Most of those fail because the UI is generic and the logic is shallow. The real money is in "Micro-SaaS" tools that solve a boring, specific problem—like a tool that converts Jira tickets into formatted technical documentation. I built a small automation script last month using a mix of Claude Code for the logic and Cursor for the frontend. It took me 6 hours. Two years ago, that would have been a two-week project. To actually make this work, you need a system. You can't just prompt and pray. You need a library of proven prompts, a way to manage your context windows, and a peer group to tell you when your architecture is trash. This is exactly why joining a dedicated space like the [PromptCube homepage](/en/) matters. It's the difference between guessing and knowing which prompt will actually trigger the correct architectural pattern in a model. ### The verdict: What should you install today? Stop fence-sitting. Here is the direct recommendation based on who you are: 1. **The "I want it to just work" dev:** Get **Cursor**. It's the most polished, has the best ecosystem, and the transition from VS Code is seamless. 2. **The "Speed is everything" dev:** Try **Windsurf**. The context switching is marginally better and the "Flow" state is real. 3. **The "Terminal Junkie" / Power User:** Use **Claude Code**. It's the closest thing to having a junior engineer sitting in your shell. If I had to pick only one for the next six months, I'm sticking with Cursor. It's the most stable bridge between "AI assistance" and "actual software engineering." Everything else is just noise. [Next Three.js: Building an Interactive 2.5D Web Environment →](/en/threads/3284/) ## All Replies （0） No replies yet — be the first!