San Francisco, CA, USA
2017
  |  By Rohan Bhaumik
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.
  |  By Kelsey Rosen
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.
  |  By Sanjay Nagaraj
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.
  |  By Eric Minick
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.
  |  By Jyoti Bansal
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.
  |  By Lavakush Biyani
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.
  |  By Shibam Dhar
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.
  |  By Ritabrata Moitra
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.
  |  By Akshay Khole
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.
  |  By Kelsey Rosen
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.
  |  By Harness
Where is all your cloud and AI spending going? Harness Cost Management Agent helps companies track, understand, and reduce spending across cloud infrastructure, AI models, tokens, coding assistants, and AI agents. See who's driving costs, identify wasted spend, and get AI-powered recommendations to optimize your budget or automatically take action. It's not just about seeing your bill. It's about understanding what's driving it and how to reduce it.
  |  By Harness
Where is all your AI spend going? From AI coding tools and LLM tokens to autonomous AI agents, understanding what you're spending and what you're getting in return is becoming increasingly important. In this demo, see how **Harness AI Cost Management** gives engineering teams visibility into AI spending across developers, models, and applications, helping organizations track costs, manage budgets, and measure AI ROI.
  |  By Harness
See how Harness Database DevOps and DBmarlin work together to give you full visibility into query performance, automated deployment verification, and AI-assisted database change authoring - all inside your CI/CD pipeline. Most teams deploy database changes blind - they push a schema migration and hope nothing breaks. This demo shows a better way: DBmarlin surfaces the cost and performance of every query before and after a change, while Harness CV uses AI/ML to automatically detect regressions and block bad deployments from reaching production.
  |  By Harness
Citrix was facing a major security crisis before its official warning even went out. Companies were already pulling critical network devices offline as attackers exploited serious vulnerabilities in Citrix NetScaler ADC and Gateway systems. In this ShipTalk clip, Adam, Martin, and Starr break down the Citrix zero-day vulnerabilities, the race to respond, and the impossible decision facing security teams: keep potentially compromised infrastructure running or rush to deploy a patch.
  |  By Harness
What if AI could find a security vulnerability, determine whether it actually matters, write the fix, validate it, and open a pull request for review? In this demo, see how Harness Security Testing Agents work together to move from vulnerability detection to a verified fix with an audit trail along the way. The system uses three agents: Harness can analyze where vulnerabilities exist in your environment, determine whether they’re actually reachable, prioritize what needs to be fixed, and automatically create remediation pull requests.
  |  By Harness
Citrix NetScaler customers were pulling devices offline as attackers moved faster than the traditional patch and response cycle. What happens when cyberattacks move faster than security teams can react? In this episode of ShipTalk, Martin Reynolds and Adam Arellano are joined by Starr Brown, Director of Open Source Projects at OWASP, to break down the latest Citrix NetScaler ADC and Gateway security vulnerabilities, active exploitation, and the rapidly shrinking window between vulnerability discovery and attack.
  |  By Harness
An Alibaba-affiliated AI agent went full crypto bro. During reinforcement learning, the agent autonomously started mining cryptocurrency, downloaded the tools it needed, and created a reverse SSH tunnel to get around network restrictions. What starts as a funny story about an AI vaping and mining crypto gets a lot more serious when you realize how sophisticated the behavior actually was.
  |  By Harness
AI for Development Isn't New. AI for Delivery Is! AI coding assistants have transformed how teams create software. But innovation only delivers business value when code moves quickly and safely from commit to production and into customers' hands. In AI-Native Software Delivery, Harness Field CTO Nick Durkin and DevOps veterans Eric Minick and Chinmay Gaikwad present a practical guide to applying AI across the entire software delivery lifecycle.
  |  By Harness
Organizations everywhere are racing to modernize DevOps and elevate the developer experience, but how close are they to actually delivering?We surveyed over 650 engineering leaders to find out. The result is The State of Software Engineering Excellence 2025, a report that uncovers the hidden challenges, gaps, and opportunities shaping today's software teams.
  |  By Harness
This comprehensive whitepaper shows you how modern software delivery platforms solve these challenges.
  |  By Harness
Modern systems are more complex-and more fragile-than ever before. Whether it's scaling challenges, dependency failures, or unpredictable outages, reliability is no longer optional. It's a competitive edge. This eBook provides a practical blueprint for successfully adopting Chaos Engineering, with strategies proven to work across engineering, SRE, and QA teams. Learn how to overcome internal blockers, align ownership, and embed resilience testing directly into your software delivery lifecycle.
  |  By Harness
You're adopting AI code generation tools to enhance your engineering team's output, but how do you quantify the real return on investment? Without precise measurement, you're navigating in the dark, unable to identify true productivity gains or pinpoint areas for optimization. Justifying these critical AI investments becomes difficult.

Harness delivers intelligent AI automation, so your team ships code faster, safer, and smarter.

Don't let your pipeline become the bottleneck as developers and AI coding agents generate more code. Harness AI intelligently automates, safeguards, and accelerates software delivery at any scale.

  • AI for DevOps & Automation: Unleash developer productivity with AI that understands your DevOps ecosystem. Harness combines the industry's fastest, most secure CI/CD with developer self-service to automate pipelines, infrastructure, and the entire path from code to production.
  • AI for Testing & Resilience: Release software confidently using AI-powered predictive analytics and testing. Make every change fast, safe, and resilient, so your teams can focus on shipping quality code instead of chasing bugs and triaging outages.
  • AI for Security & Compliance: Make secure software your new default. From application and API discovery to AI-powered threat prevention, Harness uses contextual insights and agentic workflows to detect and mitigate risks from build to post-deployment.

AI for Everything After Code.