Tagged articles

Runtime Harness

5 articles · Page 1 of 1

Aug 26, 2026 · Artificial Intelligence

Beyond Code Generation: Coding Agents Now Compete on AI-Native SDLC

The article argues that code generation is no longer the bottleneck; competition among coding agents is shifting toward managing the entire AI-Native software development lifecycle — Plan, Design, Build, Test, Deploy, Maintain — using versioned artifacts, automated verification, governance gates, and context engineering, as raw model capabilities become commoditized.

AI-Native SDLCAI-assisted developmentAnthropic

0 likes · 50 min read

Beyond Code Generation: Coding Agents Now Compete on AI-Native SDLC

PaperAgent

Jul 27, 2026 · Artificial Intelligence

Dual‑Engine Evolution: A Systematic Survey of Long‑Horizon Agents

This 149‑page survey defines long‑horizon agents as a coupling of a base policy and a runtime harness (Agent = πθ ⊕ H), categorises task levels and capabilities, traces the field’s evolution from prompt to context to runtime engineering, and outlines a seven‑stage optimization pipeline, application forms, and frontier challenges, supported by empirical growth data and extensive references.

AI SurveyAgent optimizationAgentic AI

0 likes · 12 min read

Dual‑Engine Evolution: A Systematic Survey of Long‑Horizon Agents

PaperAgent

Jun 20, 2026 · Artificial Intelligence

Vertical Domain Agents Gain 88.5% Boost by Adapting the Runtime Interface, Not Retraining

The paper shows that many failures of deterministic LLM agents stem from mismatched model‑environment interfaces, and introduces LIFE‑HARNESS—a four‑layer runtime harness that extracts reusable failure patterns from training trajectories without updating model weights, delivering an average 88.5% relative performance gain across 126 model‑environment settings.

Benchmark EvaluationDeterministic AgentsLLM Agents

0 likes · 8 min read

Vertical Domain Agents Gain 88.5% Boost by Adapting the Runtime Interface, Not Retraining

Data Party THU

Jun 11, 2026 · Artificial Intelligence

Boost 18 LLM Agents Without Retraining Using LIFE‑HARNESS

The article introduces LIFE‑HARNESS, a runtime‑interface adaptation framework that keeps model weights unchanged, extracts reusable failure patterns from a single model's training trace, and achieves an average 88.5% relative performance gain across 18 LLM agents and 7 deterministic environments, with successful transfer to 17 other models.

Benchmark EvaluationLLM AgentsRuntime Harness

0 likes · 8 min read

Boost 18 LLM Agents Without Retraining Using LIFE‑HARNESS

Baidu Geek Talk

May 13, 2026 · Frontend Development

Enabling Agents to See the Browser: A Runtime Harness Using Chrome DevTools Protocol

The article explains why AI agents need to perceive actual browser rendering, introduces an open‑source Browser Use skill built on Chrome DevTools Protocol that lets agents verify path, content, visual layout, interaction, console and network dimensions, and details the setup, workflow, optimization tips and practical deployment schemes.

AI agentChrome DevTools ProtocolFrontend Testing

0 likes · 25 min read

Enabling Agents to See the Browser: A Runtime Harness Using Chrome DevTools Protocol