Context Engineering > Prompt Engineering
Context engineering replaces prompt engineering. Learn to design the full context LLMs receive, with production patterns and real metrics.
10 posts found.
Context engineering replaces prompt engineering. Learn to design the full context LLMs receive, with production patterns and real metrics.
Tests pass, lint is clean, PR looks perfect. But AI agents introduce failure modes your pipeline wasn't built to catch. Here's what to add.
Multi-agent systems fail when agents do different tasks. They work when agents look at the same thing from different angles. Patterns from production.
Spec-driven AI development framework. Ship microservices without writing code manually. AST extraction + LLM synthesis patterns inside.
The should-EMs-code debate is a false binary. The builder-manager model survives AI flattening and earns team trust. Here's the third path.
AI agents excel at new code but fail at maintenance. What actually breaks, why, and the engineering guardrails that make them safe. Tested on real repos.
Beyond hello-world MCP tutorials. Build servers that survive production with auth, error handling, observability, and graceful degradation patterns.
Architecture docs decay instantly. Auto-generate living documentation from your codebase using hybrid AST extraction and LLM synthesis.
Fix the 5 hidden failure modes in your RAG pipeline. Multi-stage architecture with code, benchmarks, and metrics that prove it works.
59% of developers don't understand their AI-generated code. Learn the structured framework that separates productive acceleration from tech debt.