Harness AI brings enterprise-grade speed, security, and stability by unifying intelligence across testing, security, deployment, and optimization, i.e., for all stages after code generation, delivering a single, adaptive platform for the future of software delivery.
TL;DR
- Harness AI is now generally available, bringing enterprise-grade automation to testing, security, deployment, and cloud cost optimization across the software delivery lifecycle.
- The Software Delivery Knowledge Graph provides full SDLC context from builds to deployments, enabling AI agents to make smarter decisions across DevOps, AppSec, Testing, and FinOps.
- Customers achieve measurable results: faster test cycles, reduced downtime, and less maintenance effort through intelligent automation.
- Built in partnership with Anthropic, OpenAI, Google Gemini, and AWS, Harness AI integrates directly into existing developer workflows and toolchains.
Software development has changed forever. With AI-assisted coding, features that once took weeks can be written in hours. But generating the code is only the beginning. Testing, securing, deploying, and optimizing software remain the real bottlenecks. These steps determine whether innovation reaches customers quickly and reliably. According to the 2024 DORA report, software delivery stability and throughput have gone down significantly.
Harness AI is engineered to eliminate these bottlenecks.
Starting today, Harness AI is generally available (GA) for all Harness customers. Harness AI is the platform for everything after code, combining intelligence and automation to make software delivery faster, safer, and more efficient than ever before.
But Harness AI is more than a solution for today’s delivery challenges; it’s the foundation for the next generation of software delivery - a generation that delivers software not just for today’s applications but also for AI-powered applications with the same speed, reliability, and security.
A Vision for Software Delivery in the AI Era
AI has transformed how code is written, but software delivery remains stuck in the past. Only a small fraction of engineering time is spent coding. The rest is eaten up by repetitive, time-consuming tasks: managing pipelines, maintaining tests, running security scans, tracking deployments, and analyzing costs.
Even when AI is applied to these later stages, it often makes things worse. Different tools handle different parts of the lifecycle, creating tool sprawl without shared context. Pipelines become fragile, policy enforcement becomes inconsistent, and production failures become more frequent.
In a recent Harness survey, we found that nearly 80% of SDLC failures occur after coding, with CI/CD as the most common breaking point. The result isn’t just instability. It’s burnout. Developers are stuck balancing speed with safety, and the tools meant to help are often part of the problem.
Harness AI is here to change that.
We believe every stage after code – DevOps, AppSec, Testing, and FinOps – should be just as fast, intelligent, and automated as modern code generation. That’s the next frontier of software delivery.
Harness AI delivers on this vision by unifying intelligence across the entire delivery lifecycle. It transforms software delivery from a fragmented, failure-prone pipeline into a single, cohesive, adaptive system - built for scale, speed, and trust.
Not Just Features: A Unified Platform
Harness has spent the last eight years pushing the boundaries of AI in software delivery, from pioneering innovations like Continuous Verification to introducing Test Intelligence. With Harness AI, we’re extending that leadership by delivering a truly unified AI platform that brings intelligence to every step after code.
Users typically interact with Harness AI through a simple chat interface. Behind the scenes, a network of intelligent agents handles the heavy lifting. These agents—specialized in DevOps, SRE, Release, AppSec, Test, and FinOps—work together silently to deliver faster, safer, and more automated software delivery. You don’t see them, but you feel their impact across every workflow.
Imagine a world where:
- Pipelines are created in seconds: Simply describe your intent in natural language, and Harness AI builds and deploys enterprise-grade pipelines that adhere to your organization’s policies and standards, without manual intervention.
- Testing is automated, adaptive, and resilient: No more fragile scripts or manual rework. Harness AI intelligently creates, updates, and maintains tests and chaos experiments, dramatically reducing maintenance overhead and risk.
- Security and compliance are embedded, not bolted on: Vulnerabilities are detected and remediated in real time, with all changes tracked, so you can trust your software supply chain at every stage.
- Cloud spend is optimized in real time: Get actionable insights into cost anomalies and recommendations for savings, so your innovation doesn’t come with runaway cloud bills.
This is the power of Harness AI. These are not just promises. They are measurable outcomes that mean faster time-to-market, lower risk, and a team that can focus on innovation.
With Harness AI, enterprises have already seen:
- Test cycle times reduced by 80%
- Downtime slashed by over 50%
- Test maintenance effort cut by 70%
- 50% reduction in pipeline debugging time
The Software Delivery Knowledge Graph: Context That Powers Intelligence
At the heart of Harness AI is the Software Delivery Knowledge Graph—a continuously updated intelligence layer that brings full context to how your organization delivers software.
It captures and connects data from every stage of the SDLC: builds, tests, deployments, incidents, infrastructure changes, and cloud spend. This allows Harness AI to automate tasks, surface better insights, and make decisions that reflect your unique environment.
The knowledge graph pulls from both Harness and your existing DevOps tools, mapping relationships across people, pipelines, services, incidents, and policies. It’s how Harness AI understands not just what’s happening—but why.
Security and privacy are built in. Your data remains isolated and is never used to train shared models. Every insight and recommendation is generated using your own context, making Harness AI more precise, more secure, and more aligned with your standards.
The knowledge graph powers the AI agents across Harness—enabling everything from pipeline generation and one-click rollbacks to cost anomaly detection and automated root-cause analysis.
In short, the Software Delivery Knowledge Graph:
- Understands your environments, builds, deployments, and policies
- Reflects the security posture of your applications and infrastructure
- Ensures your data is used responsibly to deliver safer, smarter automation
This is what makes Harness AI truly intelligent—software delivery decisions grounded in your reality, not someone else’s.
Built With the Best
Harness AI is developed in close collaboration with Anthropic, OpenAI, Google Gemini, AWS, Windsurf, and Cursor. These partnerships ensure our AI is not just cutting-edge but deeply embedded into the developer workflow—whether you’re coding, testing, or monitoring production.
Available Now
Software delivery has been a bottleneck for too long. With Harness AI, we’re removing the friction, reducing the risk, and allowing teams to innovate without compromise. This is the future of software delivery, and it starts today.
Harness AI is here, and it’s already transforming how teams deliver software.
Join us at Harness Unscripted on September 30th to see Harness AI in action.
Frequently Asked Questions
What is Harness AI?
Harness AI is an AI software delivery platform that automates testing, security, deployment, and optimization across the entire software development lifecycle. It uses specialized AI agents for DevOps, SRE, AppSec, Testing, and FinOps, all powered by the Software Delivery Knowledge Graph, which provides full context of your builds, deployments, and infrastructure.
How does Harness AI differ from AI coding assistants?
While AI coding assistants help developers write code faster, Harness AI addresses everything that happens after code generation. It automates the testing, security scanning, deployment pipelines, and cloud cost optimization stages that consume the majority of engineering time, tackling the real bottlenecks in software delivery.
What results have customers seen with Harness AI?
Customers using Harness AI modules have achieved significant improvements in delivery speed and efficiency. Results include faster test cycles, reduced downtime, decreased test maintenance effort, and quicker pipeline debugging. These improvements come from intelligent automation that understands full SDLC context.
Is Harness AI available now?
Yes, Harness AI is generally available as of this announcement. All Harness customers can access the platform's AI-powered features for pipeline creation, test automation, security remediation, and cloud cost optimization. Visit harness.io/products/harness-ai to learn more.
How does the Software Delivery Knowledge Graph work?
The Software Delivery Knowledge Graph continuously captures and connects data from every stage of your SDLC: builds, tests, deployments, incidents, infrastructure changes, and cloud spend. It maps relationships across people, pipelines, services, and policies, giving AI agents the context they need to make smart decisions specific to your environment. Your data remains isolated and is never used to train shared models.
What AI models does Harness AI use?
Harness AI is built in partnership with leading AI providers, including Anthropic, OpenAI, Google Gemini, and AWS. The platform uses multiple specialized models optimized for different software delivery tasks, ensuring you get the best AI capabilities for DevOps, testing, security, and cost optimization.