How Effective Harnesses Keep Long‑Running AI Agents Productive

The article analyzes why AI agents lose progress across discrete context windows, identifies two failure patterns, and presents a dual‑harness solution—an initialization agent and a coding agent—that uses init scripts, progress files, and Git to enable incremental, test‑driven development over hours or days.

AI agentsClaude Agent SDKcontext management

0 likes · 16 min read

How Effective Harnesses Keep Long‑Running AI Agents Productive

o-ai.tech

Mar 25, 2026 · Artificial Intelligence

From Code Writing to Continuous Development: Anthropic’s Long‑Running Agent Harness Design

Anthropic’s article dissects a three‑role harness—planner, generator, evaluator—for building long‑running AI applications, explaining how structured specs, sprint contracts, iterative evaluation, and context management transform a single model into a reliable software‑engineering pipeline, with concrete front‑end and full‑stack case studies.

AI agentsEvaluatorHarness

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From Code Writing to Continuous Development: Anthropic’s Long‑Running Agent Harness Design

Java Architect Essentials

Nov 22, 2024 · Operations

Longest Continuously Running Computers and Servers: Real-World Examples

This article compiles various real-world anecdotes from Zhihu users describing computers and servers that have remained continuously operational for periods ranging from over six years to more than four decades, highlighting examples from data centers, legacy hardware, and even space probes.

long-runningserversuptime

0 likes · 8 min read

Longest Continuously Running Computers and Servers: Real-World Examples