Context Engineering Trumps RAG
mdancho84 · x · 2026-07-19
Discussing AI systems in 2026, the author argues that **context engineering** is becoming more critical than simply implementing RAG: - The key isn't just "retrieval," but designing which data sources the model accesses, how retrieval tools are combined, and how the token budget within the context window is allocated. - Debugging shifts from "the model answered incorrectly" to "what was actually retrieved, why it was wrong, and how the context was assembled." - The author emphasizes that **RAG isn't dead**, but it is merely a component within a larger system.
Related event: Context Engineering Overtakes RAG in AI Development(2 posts)→
More from coding & agent
- New essay proposes embedding coding agents directly into regular apps — threepointone · 2026-07-21
- uv-scripts/ocr returns to the top of Hugging Face datasets with a JSON model picker — vanstriendaniel · 2026-07-21
- Sonar CEO says a guide-verify-solve loop cuts coding-agent issues by 92% — alex_verem · 2026-07-21
- A creator built an Awwwards-style landing page with ChatGPT 5.6 Sol in one conversation — paw_lean · 2026-07-21
- OpenAI’s Build Week buildathon drew 40 people for 11 hours with Codex — paw_lean · 2026-07-21
- Workshop to cover loop and graph engineering for AI-native software engineering — Al_Grigor · 2026-07-21