本文来自PRO会员通讯内容，文末关注「机器之心PRO会员」，查看更多专题解读。 AI Agent 进入生产环境后，业界关注的重点正从生成转向执行。随着长程任务中的上下文挤压、工具开销和业务语境缺口持续暴露，单一的 Context Engineering 已难以支撑 Agent 的稳定运行，围绕执行环境、约束机制和反馈回路展开设计的 Harness Engineering 因而受到更多关注。 目录 01. Agent 的稳定性问题还是得靠 Harness 来补？ Harness Engineering 将是 Context Engineering 之后的新范式？... 02 . 为什么 Context Engineering 还远远不够？ Andrej Karpathy 力挺的 Context Engineering 现在也不够用了？LLM 性能提升的关键不在于输入更多的 token？... 3、自 2025 年 12 月开始，AI 社区的 Harness Engineering 的讨论开始逐步升温，并将其视为 Prompt Engineering、Context Engineering 之后，Agent 工程 ...

In most debugging sessions, you're clicking through traces, switching pages, and often losing your place. We built Poly, an AI assistant to help improve your agents using Langmith. Today, Poly is available across every page in Langmith.Poly also remembers your full conversations as you navigate to different pages. Let's open up a tracing project and see this in action. You can see here I have a longer trace that has a few different things happening, and we have an agent that's doing some deep research for u ...

Core Insights - The article discusses the evolution of AI development practices from Prompt Engineering to Context Engineering, and now to Harness Engineering, emphasizing the importance of the environment in which AI agents operate [4][40][41] Group 1: Evolution of Engineering Practices - In 2023, Prompt Engineering was at its peak, focusing on crafting effective prompts for AI to deliver results [9] - By mid-2025, Context Engineering emerged, shifting the focus to designing dynamic systems that provide the necessary context for AI tasks [9][10] - As of February 2026, Harness Engineering was introduced, highlighting that the environment in which AI agents operate is crucial for their performance [11][12][13] Group 2: OpenAI's Experiment and Findings - OpenAI conducted an experiment with a team of engineers who delivered over 1 million lines of code without writing any human code, relying entirely on Codex Agent [15] - The experiment revealed that the most significant challenges lie in designing the environment, feedback loops, and control systems for AI agents [22][42] - The team learned that a well-structured documentation system is essential, evolving from a single large document to a more organized directory structure [17][18] Group 3: Framework of Harness Engineering - Birgitta Böckeler outlined a three-dimensional framework for Harness Engineering, which includes Context Engineering, Architectural Constraints, and Entropy Management [24][25][26] - Context Engineering ensures that agents receive the right information at the right time, while Architectural Constraints enforce boundaries through automated mechanisms [24][25] - Entropy Management addresses the degradation of the system over time, ensuring that the harness remains effective and does not become outdated [26] Group 4: Industry Adoption and Examples - Companies like Stripe and LangChain are implementing Harness Engineering principles, with Stripe's Minions system merging over 1,300 AI-generated pull requests weekly [28][29] - LangChain demonstrated a significant performance improvement in its coding agent by optimizing the harness without changing the underlying model [29][30] - The concept of Harness Engineering is being internalized by tool vendors, with MCP (Model Control Protocol) becoming a standard for agent tool access [31] Group 5: Future Directions for Engineers - The core responsibilities of engineers are shifting from writing code to designing environments that ensure reliable operation of AI agents [33] - Engineers are now focused on building documentation systems, defining business intents in machine-readable formats, and creating automated validation mechanisms [33][34] - The industry is recognizing the need for a deeper understanding of system design over mere coding speed, leading to a re-evaluation of team structures and roles [35][36]

The world is becoming promptable. So I got… very specific. https://t.co/VGulkPczhy ...

By age 30 you should have:> a job title that sounds senior but is 90% prompt engineering> 47 mac minis with their own clawbots arguing on your discord server> chronic back pain from keeping up with “just one more model” being launched daily https://t.co/Tz8fosoBRo ...

Use My Prompts👇🏼 https://gist.github.com/mberman84/63163d6839053fbf15091238e5ada5c2 25 More OpenClaw Use Cases! (eBook) 👇🏼 https://www.forwardfuture.ai/p/what-people-are-actually-doing-with-openclaw-25-use-cases Download The Subtle Art of Not Being Replaced 👇🏼 http://bit.ly/3WLNzdV Download Humanities Last Prompt Engineering Guide 👇🏼 https://bit.ly/4kFhajz Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai Discover The Best AI Tools👇🏼 https://tools.forwardfuture.ai My Links 🔗 👉🏻 X: https: ...

RT JNS (@_devJNS)> describe the problem to ChatGPT.> ask ChatGPT to generate a prompt.> paste the prompt to Claude.works all the time.. https://t.co/Turm27afCV ...

RT Avi Chawla (@_avichawla)I boosted my AI Agent's performance by 184%...using a 100% open-source technique.Now you can automatically find the best prompts for any agentic workflow you're building.So you don't need to manual prompt engineering at all!The snippet below explains this using Comet's Opik.The idea is simple:1. Start with an initial prompt & eval dataset2. Let the optimizer iteratively improve the prompt3. Get the optimal prompt automatically!And this takes just a few lines of code.Why use Opik?O ...

Download The Subtle Art of Not Being Replaced 👇🏼 http://bit.ly/3WLNzdV Download Humanities Last Prompt Engineering Guide 👇🏼 https://bit.ly/4kFhajz Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.ai Discover The Best AI Tools👇🏼 https://tools.forwardfuture.ai My Links 🔗 👉🏻 X: https://x.com/matthewberman 👉🏻 Forward Future X: https://x.com/forwardfuture 👉🏻 Instagram: / matthewberman_ai 👉🏻 TikTok: / matthewberman_ai Media/Sponsorship Inquiries ✅ https://bit.ly/44TC45V ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. https://t.co/V55Af2OZpsAvi Chawla (@_avichawla):I boosted my AI Agent's performance by 184%...using a 100% open-source technique.Now you can automatically find the best prompts for any agentic workflow you're building.So you don't need to manual prompt engineering at all!The snippet below explains this using Comet's https://t.co/KT3rCWEOO8 ...