Engineering Blog

What a Context Graph Actually Is, and How to Build One

Context graphs help AI agents reason through work by modeling how processes happen across your organization. This guide breaks down what they are, how they differ from knowledge graphs, core architecture patterns, and key steps for building one.

The AI Productivity Paradox: We're Measuring the Gains and Missing the Costs

AI is making engineering teams faster, but much of the work behind those gains still goes unmeasured. New Harness research explores the hidden costs of AI productivity.

The Agent Loop Is the New OS: Design Philosophy of the Harness MCP Server

Well-designed agent infrastructure isn't about building smarter tools. It's about building fewer, more composable ones that keep the context window free for reasoning.

Testing AI with AI: Why Deterministic Frameworks Fail at Chatbot Validation and What Actually Works

Deterministic frameworks fail at testing AI chatbots. Learn why you need AI Assertions for reliable chatbot validation, preventing hallucinations, prompt injection, and consistency errors at scale.

Deterministic by Design: How Harness Grounds AI Agents in Structured Data

Learn how Harness grounds AI agents in a schema-driven Knowledge Graph to deliver deterministic, efficient answers across CI/CD, security, and cloud cost modules.

An Introduction to Disaster Recovery Testing: What You Need to Know in 2026

Discover why disaster recovery testing is essential in 2026. Learn simple types of tests, the role of artificial intelligence, and practical steps to protect your business from costly downtime.

AI Demos Are Easy. Enterprise AI Is Not.

Why Context is the New Code for Scaling Production AI

Your Repo Is a Knowledge Graph. You Just Don't Query It Yet.

SCM is evolving into Source Context Management, enabling AI agents with rich, precomputed context to improve accuracy, speed, and reliability in software development.

Load Testing: An Essential Guide for 2026

AI is transforming load testing in 2026 with intelligent workload modeling, predictive bottleneck detection, and automated realistic simulations. Discover this essential guide to modern load testing best practices and tools.

Build Numbers That Actually Make Sense: Branch-Scoped Sequence IDs in Harness CI

Most CI tools use global build counters, causing confusion. Learn how Harness solves this with branch-scoped build numbers.

Architecting MCP for AI Agents: Lessons from Our Redesign

The Harness MCP v2 Server covers 125+ resource types across 30 toolsets with 11 tools and 26 prompt templates. It supports Cursor, Claude Code, and any MCP-compatible client.