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By Vishal Vishwaroop
Enterprise releases spanning multiple services, teams, and environments demand more than spreadsheets and manual coordination. Harness Release Orchestration provides a unified framework for modeling, automating, and tracking complex releases with complete visibility from planning through production deployment.
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By Vishal Vishwaroop
The first quarter of 2026 introduces eight major pipeline orchestration enhancements that accelerate development, simplify validation, and strengthen governance. Execute pipelines from Git tags for immutable versioning, leverage AI to author OPA policies without Rego expertise, and gain complete visibility into queued pipelines across your account.
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By Vishal Vishwaroop
The first quarter of 2026 introduces AI-powered continuous verification that eliminates configuration overhead, expanded deployment platform support including Azure Container Apps and enhanced Windows capabilities, and GitOps workflow improvements that align with how teams actually ship software.
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By Michael Isbitski
Application security & engineering teams are under pressure to move faster, cover more, and reduce the operational drag that often comes with security testing. But in practice, two problems keep slowing teams down and adding friction.
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By Thomas Dockstader
AWS re:Invent 2025 made one thing very clear: enterprise interest in AI is no longer theoretical. The conversation has moved beyond curiosity. Teams are actively experimenting, leaders are looking for production-ready use cases, and engineering organizations are trying to figure out where AI can create real leverage across software delivery, security, platform engineering, and operations.
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By Chinmay Gaikwad
It’s becoming increasingly clear that AI-generated code can create real challenges once it reaches production. At Harness, we’ve been focused on innovating fast and solving those problems, so teams can move quickly without sacrificing reliability. In the past 30 days, we delivered 70+ new features.
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By Chinmay Gaikwad
Summary: Google Cloud Next ’26 focused on the future of software delivery, emphasizing that AI, platform consolidation, and an urgent push toward efficiency are reshaping the Software Development Life Cycle (SDLC). The key takeaway from the event was that organizations are moving from AI experimentation to operationalization, actively consolidating fragmented tools onto end-to-end platforms that embed AI for control, intelligence, and speed.
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By Jyoti Bansal
The question for enterprise AI in 2026 is no longer just which model. It’s which harness. An agent harness is the system around the model. It decides what the agent remembers, what context it sees, what tools it can call, what it is allowed to do, and what happens when it is wrong. The model provides intelligence. The harness provides control. This is where the real engineering is happening.
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By Jyoti Bansal
TLDR: Today, Harness is introducing the Harness Cursor Plugin, bringing the power of the Harness AI-native software delivery platform directly into Cursor. This integration, along with the Harness Secure AI Coding hook for Cursor, allows developers and AI agents to move from code changes to vulnerability detection, CI/CD execution, security validation, approvals, deployments, and operational insight without leaving the editor. AI has completely changed how we write code.
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By Renny Shen
The release of Anthropic Mythos and Project Glasswing marks an exciting and pivotal new chapter in software development. As the industry advances, the speed and economics of vulnerability exploitation have fundamentally shifted. What once took weeks of manual reconnaissance can now be scaled rapidly through automated models. However, this is not just a security problem to solve. It is a massive engineering opportunity to build cleaner, more robust systems.
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By Harness
Having backups doesn't mean you have disaster recovery. And that gap could kill your business. Backups are just data snapshots stored safely for restoration when files get corrupted or deleted. Disaster recovery is your complete operational playbook for bringing back servers, applications, networks, and entire infrastructure after catastrophic failures. You can restore every byte of data from backup and still watch your business stay offline for hours or days because you lack the recovery procedures, failover systems, and tested runbooks to actually get operations running again.
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By Harness
April was a big month at Harness. AI is changing how code gets written — and the rest of the SDLC is catching up. In this update, Dewan Ahmed walks through Harness product releases across three themes: AI in the developer workflow, security and governance for AI assets, and self-service maturity for developers and platform teams. What's covered (with timestamps): Found this useful? Subscribe for monthly product updates, and drop a comment telling us which release you want a deep dive on next.
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By Harness
Want to start chaos engineering? Don't randomly break stuff and hope for the best. Real chaos engineering starts with defining your system's steady state metrics like latency, throughput, and error rates. Then you form a clear hypothesis about what should happen when failures occur. Next, you inject controlled failures, starting small with single pod kills or network drops, not production meltdowns. Finally, you limit the blast radius by running experiments in safe environments first.
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By Harness
What's the most debated DORA metric? Nathen H from Google's DORA team breaks down the change lead time debate — and why even the experts can't fully agree on when a change is "committed." Is it at commit? After merge? The answer matters more than you think. Subscribe for more DevEx and DORA insights from our Web Summit series.
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By Harness
Meet the new Harness Plugin for Cursor, you can now bring the software delivery outerloop and have it meet your innerloop for development all in your Cursour IDE.
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By Harness
Stop context-switching between your IDE and your CI/CD dashboards. In this video, we demonstrate the new Harness Cursor Plugin, a native integration that brings the full power of the Harness AI Software Delivery Platform directly into Cursor. Using the Cursor Agent window and the new Harness Model Context Protocol (MCP) server, you can now manage your entire software delivery lifecycle through natural language. From triggering pipelines to governing deployments, this plugin ensures you stay in your flow while maintaining enterprise-grade security and control.
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By Harness
Welcome to the Season 4 finale of the Ship Talk podcast! Join special host Thomas Dockstader and several industry leaders at AWS re:Invent to discuss the intersection of AI and software delivery. The following is a series of interviews with partners, customers, and engineering leaders on the front lines of AI transformation. Don't miss the "Ship It or Skip It" segment, where our guests give their rapid-fire takes on everything from AI code reviews to the four-day work week.
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By Harness
In this video, we introduce Harness Resilience Testing and show you how to move beyond once-a-year DR drills to a continuously validated, pipeline-driven process. You'll see how Harness lets you validate regional failovers, check database replication lag under pressure, and confirm your hot standbys genuinely take over live traffic, all in one place. We also walk through a live DR test execution, showing exactly how Harness triggers the full failover sequence, runs every validation step automatically, and gives you a clear pass or fail result in real time.
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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.
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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.
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By Harness
This comprehensive whitepaper shows you how modern software delivery platforms solve these challenges.
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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.
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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.
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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.