From dark magic to nightmare: single-thread ChatGPT fails modern dev workflows
Early ChatGPT felt like sorcery, but now context limits break large software projects
Deep Dive
Developers recall early ChatGPT as magical, but today scaling code in a single chat window causes context overload, hallucinated code drift, and broken CSS. One user now separates data handling (in chat) from visual assembly via a tool called 'runable' that natively manages visual component assembly, saving token limits. The user asks the community how others structure their setup, and whether anyone still tries to vibe-code entire apps inside a literal diary thread.
Key Points
- Early ChatGPT felt magical for one-off queries but fails when scaling multi-page projects.
- Context window overload causes hallucinated code drift and broken CSS, wasting developer time.
- Separating data handling (in chat) from UI assembly (dedicated tool) preserves token limits and improves reliability.
Why It Matters
Highlights the need for modular AI tooling as chat interfaces prove insufficient for real-world software projects.