Engineering Blog

Cloud Asked What It Cost, AI Is Asking What It's Worth

New research reveals why enterprise AI costs are rising, where organizations waste spend, and how FinOps leaders can improve AI ROI.

Building a Zero Trust Service for CI/CD: How We Intercept Every Task Before It Executes

How Harness built the Zero Trust Service: a customer-owned layer that verifies every CI/CD pipeline task at runtime before it executes.

Identity and Permissions for AI Worker Agents in Harness

How Harness scopes AI agent access with delegated identity, ephemeral tokens, RBAC, OPA policy, and MCP gateway tool intersection, enforced server-side.

How We Secured AI Worker Agents in Harness

How Harness isolates Autonomous Worker Agents with four independent security layers — image hardening, process isolation, secret isolation, and network controls, tested against a real CVSS-9.0 breach chain.

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.