This channel is not for vibe-coders. It's for professional devs who want to use AI as powerful assistant, while still keeping the control of their codebase. My name is Povilas Korop, and I'm passionate about coding with AI. So I started this THIRD YouTube channel, in addition to my other ones Laravel Daily and Filament Daily. You will see a lot of my experiments with AI: I will try new things and share my discoveries along the way.
Most developers use AI to skip the hard work of thinking, but a viral new prompt from Suzanne Wong turns the table. By forcing the AI to quiz you on its own code, it ensures you aren't just copy-pasting your way into a maintenance nightmare. This technique identifies the gap between functional code and true technical mastery.
Qwen 3.7 Plus promises to solve the high-cost barrier of Chinese LLMs, but does it actually deliver on code quality? While the price per prompt has dropped to 6 cents, benchmark testing reveals the model still struggles with niche PHP packages and React components, keeping it pinned to the bottom of the leaderboard.
Trading model quality for lower API costs often backfires, as older versions like GPT 5.3 Codex lack training on modern frameworks and introduce critical performance bugs. While legacy models offer cheaper tokens, they frequently struggle with basic architectural logic, creating more work for developers in the long run.
The latest API pricing data reveals a massive shift in the coding LLM market, with Composer 2.5 emerging as a high-performance, low-cost disruptor. While GPT 5.5 remains the most expensive option for developers, new efficiency gains in Opus 4.8 and aggressive pricing from Chinese models are forcing a total re-evaluation of model loyalty.
Claude Opus 4.8 just cleared a perfect 20/20 on our internal coding leaderboard, fixing the logic stumbles that plagued Opus 4.7. While it doubles the speed for React and TypeScript development, its new habit of 'correcting' human prompts reveals a surprising shift in AI creative agency.