agent reliability — 3 Technical Articles

Mar 31, 2026 · Artificial Intelligence

Why Spec-Driven Development Remains Crucial in the Age of Harness Engineering

The article analyzes Harness Engineering and Spec‑Driven Development (SDD), explaining how structured specs act as a map, semantic foundation, and correctness criterion for AI agents, and why investing in a robust spec system still adds decisive value despite powerful harness tools.

AIHarness EngineeringSpec‑Driven Development

0 likes · 23 min read

Why Spec-Driven Development Remains Crucial in the Age of Harness Engineering

AI Architecture Hub

Mar 15, 2026 · Artificial Intelligence

How OpenClaw Solves Long‑Task Context Challenges for AI Agents

This article analyses the real‑world pain points of long‑running AI agents, breaks down OpenClaw’s core concepts, explains its three‑layer context‑compression pipeline, presents four key engineering decisions, shares six practical techniques with essential parameters, and compares OpenClaw to competing approaches.

AI agentsLLM engineeringOpenClaw

0 likes · 17 min read

How OpenClaw Solves Long‑Task Context Challenges for AI Agents

Instant Consumer Technology Team

Nov 5, 2025 · Artificial Intelligence

Why AI Agents Fail: 70% Failure Rate & How Interleaved Thinking Improves Reliability

Recent CMU and Salesforce studies reveal that top‑tier AI agents like Gemini 2.5 Pro, Claude 3.7 Sonnet and GPT‑4o fail in 69‑70% of multi‑step tasks, but MiniMax‑M2’s Interleaved Thinking reduces failure dramatically, highlighting that execution mechanisms, not model size, are key to reliable AI agents.

Interleaved ThinkingOpenAI APIagent reliability

0 likes · 17 min read

Why AI Agents Fail: 70% Failure Rate & How Interleaved Thinking Improves Reliability