@wavaai.feeds: This evolution explains why: 🔹 Prompt Engineering → Better prompts 🔹 Context Engineering → Better context 🔹 Harness Engineering → Better AI systems The shift is bigger than most people realize. Yesterday's AI apps relied on a single prompt. Today's AI agents rely on complete architectures: • Memory management • Retrieval pipelines • Tool orchestration • Verification loops • Automatic retries • Context compression • Multi-agent collaboration The conversation is no longer about writing the perfect prompt. It's about building the right system around the model. One insight that changes everything: The context window is becoming AI's CPU cache. What you keep inside it directly impacts: • Accuracy • Speed • Cost • Reasoning quality • Hallucination rate And that's where Harness Engineering comes in. Gather → Curate → Act → Verify → Retry That's the workflow behind production-ready AI agents. The next generation of AI engineers won't just prompt models. They'll design intelligent systems that think, adapt, and scale. 🚀
