Operations | Monitoring | ITSM | DevOps | Cloud

Agentic code is changing how we think about code quality

Discover how Harness Builds combines Test Intelligence, code coverage, and quality signals to help developers and AI agents validate changes faster and improve code quality. AI has changed the speed at which we can write code. Developers can move from an idea to a pull request faster, agents can work through changes autonomously, and the amount of code moving through development pipelines is only going up. But writing the code is only the beginning.

FinOps for Banks: Best Practices & Cost Control

Discover FinOps best practices tailored for banks. Optimize cloud costs while meeting compliance and security needs. Learn more. Financial institutions face unique challenges implementing FinOps due to strict regulatory compliance, security requirements, and complex legacy systems. This guide covers proven FinOps strategies for banks including cost allocation, governance frameworks, and automated controls that balance innovation with risk management while optimizing cloud spending.

Inside a governed software factory: Harness and Cosmos

Learn how Harness and Cosmos build trusted, governed software factories with automated, end-to-end agent orchestration and pipeline security. Software factories can greatly accelerate software development, but concerns about trust, governance, and predictability are limiting how broadly organizations deploy them.

Burnout Is Rising. Here's What You Can Fix

The faster teams deploy, the more releases fail, and burnout climbs right with it. What 700 engineers told Harness about delivery at AI speed. Lenny's Newsletter put out its 2026 tech workforce survey this year, and you should read the whole thing. The headline stats: significant burnout jumped from 44.7% to 55.7% of tech workers in a year. Career optimism dropped from 54.8% to 48.7% over the same period of time.

Harness acquires Augment Code to advance the Autonomous SDLC

Harness Cosmos Software Factory Agent automates engineering from idea to code, connecting code context with delivery, security, testing, and production workflows. The world runs on software. Better healthcare, more accessible financial services, more efficient businesses, and better everyday experiences all depend on our ability to build and improve it. AI is making that faster, but the outcome that matters is not simply how much code we generate.

Deploy Your First App with Harness CD in Under 15 Minutes

Deploy your first app with Harness CD in under 15 minutes. Learn how to build, configure, and execute a rolling deployment using a real sample application. TL;DR: Deploying shouldn't feel like crossing your fingers. With Harness CD, you set up your deployment once and get rollback and a full history of what shipped, without writing it all yourself.

From Git Repo to Docker Image: Building Your First CI Pipeline in Harness

Connect GitHub, let Harness generate your CI pipeline, then build and push a Docker image to DockerHub. No YAML required. Creating your first CI pipeline usually sounds simple until you actually start. You connect your repository, figure out what stages you need, configure the build steps, set up the runtime, add caching, testing, credentials, and then hope the first run actually works.

Judgment, not generation: rebuilding our AI API Classifier on Jev

Rebuild AI API classification with Jev to cut costs, reduce latency, improve calibration, and make production decisions more efficient without sacrificing accuracy. Replacing the judgment step in a production classification pipeline with a purpose-built decision model changes the economics of the problem entirely.

Knowledge Graphs for Software Delivery: An Architectural Approach

Discover how software delivery knowledge graphs unify fragmented SDLC data, enable schema-as-code, and power deterministic AI reasoning across engineering teams. Software delivery knowledge graphs unify fragmented SDLC data across disparate tools by establishing explicit entities, typed relationships, and schema-as-code contracts. This transforms manual cross-system data stitching and non-deterministic AI reasoning into reliable, queryable knowledge. Key takeaways include.

Why engineers ignore cloud cost governance (and fixes)

Discover why engineers ignore cloud cost governance and how to build developer cost accountability. Learn how Harness helps empower engineering teams. Engineers often overlook cloud costs due to friction in traditional FinOps tools and a lack of real-time visibility. By embedding automated guardrails and shift-left cost insights into developer workflows, organizations can drive accountability without slowing velocity.