I scanned 30 documentation sites and figured out why code assistants recommend the same libraries. He
AI Release 🔥 I scanned 30 documentation sites and figured out why code assistants recommend the same libraries. They memorize not the best, but the most popular examples from their training data. My project — a lightweight alternative to a heavy framework — was simply losing out in search results because there was little data about it. The fix is simple: I inserted the project description directly into the dialog with the assistant. It immediately started suggesting my library for tasks where it fits. Conclusion: AI isn't biased, it's just blind to the new. Want an honest recommendation — feed the model your own context. 🔗 Read on habr.com #AI #LLM #programming #neuralnetworks #libraries #ChatGPT #MachineLearning #ArtificialIntelligence 4 views 23:27
🤖 AI summary
- Date: 2026-09-22
- Source: t.me
- Key facts:
- AI Release 🔥 I scanned 30 documentation sites and figured out why code assistants recommend the same libraries.
- They memorize not the best, but the most popular examples from their training data.
- My project — a lightweight alternative to a heavy framework — was simply losing out in search results because there was little data about it.
- The fix is simple: I inserted the project description directly into the dialog with the assistant.
- It immediately started suggesting my library for tasks where it fits.
- Conclusion: AI isn't biased, it's just blind to the new.
- Want an honest recommendation — feed the model your own context.
- 🔗 Read on habr.com AI LLM programming neuralnetworks libraries ChatGPT MachineLearning ArtificialIntelligence 4 views 23:27
Source: t.me · post in Telegram