3 entries
Keyword: agent-harnessArticle:Tejas Kumar
Tejas Kumar explains the concept of an agent harness: the runtime layer around a model that enforces reliable execution in real environments. Using a practical browser automation example, he demonstrates how deterministic code around GPT-3.5 Turbo fixes agent failures without altering the prompt.
From X post: What Is an Agent Harness? Tejas Kumar Explains Harness Engineering
X post:Tejas Kumar
Tejas Kumar adapted his AI Engineer conference talk into a detailed blog post explaining the agent harness: the runtime software layer surrounding a model that delivers reliability. Rather than fixing failing agents with prompt tweaks, he argues for harness engineering in application code.
258bookmarks9.7kviews
X post:rari
A guide and workshop by rari explores the discipline of harness engineering for AI agents. When agents fail, the issue is rarely model weights or prompts, but an underspecified operating environment. Drawing on the Claude Agent SDK and references from Anthropic and OpenAI, the author explains how to design external state, tooling, sensors, and execution loops.
2kbookmarks142.2kviews
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