Agents
Harness Engineering Without the Hype: 🦄 AI That Works #54 https://x.com/i/broadcasts/1DxLdvQrDwkxm
This episode of 'AI That Works' discusses practical approaches to harness engineering in AI systems, likely focusing on techniques for effectively prompting and controlling AI model behavior beyond ma
This episode of "AI That Works" discusses practical approaches to harness engineering in AI systems, likely focusing on techniques for effectively prompting and controlling AI model behavior beyond marketing claims. Harrison Chase, creator of LangChain, presumably covers actionable methods for improving AI system performance and reliability without overstated expectations.
Related
- OPEN MEMORY, OPEN HARNESS the industry shifts to closed agent harnesses locking memory behind proprietary apis. https://x.com/hwchase17/stat…
- Another banger article from the @LangChain team! Harness evolution combined with specialist local models will be the way forward undoubtedly…
- Just read @hwchase17’s excellent thread on why agent harnesses are becoming the dominant way to build agents and why they’re intimately tied…
- I think you should build your own harness too. Build on primitives. Models come and go.
- harness engineering > prompt engineering
- Open everything 🔥 Open Harness, Model Choice, Open Memory (take it wherever you need), Open Protocols basically we’re in the middle of a mo…
Source: Harrison Chase (X) | 2026-04-21