DevOps.com

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Launched in 2014, DevOps.com has established itself as an indispensable resource for DevOps education and community building. We make it our mission to cover all aspects of DevOps—philosophy, tools, business impact, best practices and more. Our site is the largest collection of original content related to DevOps on the web and one of the top results for DevOps-related search terms. Our content includes in-depth features, bylined articles, blog posts and breaking news about the topics that resonate with IT readers interested in DevOps: teamwork through improved IT culture, continuous integration, automated deployment, agile development and infrastructure-as-code among them. Source

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Scope International, Trade/B2B
Language English
Country United States of America
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OpenAI Expands Into Developer Hardware With Codex Micro Keyboard

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By James Maguire Verified
| DevOps.com
OpenAI is preparing to launch its first branded hardware product, but rather than entering the crowded consumer device market, the company is starting with a tool designed specifically for software developers. The company has scheduled a July 15 unveiling for Codex Micro, a compact input device created in partnership with keyboard manufacturer Work Louder.
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Mozilla Shows the Danger of Indirect Prompt Injections in AI Coding Agents

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By Jeff Burt Verified
| DevOps.com
A clean GitHub repository that contains no malicious code can launch an attack and fully compromise a developer’s systems by using indirect prompt injections to trick AI-powered coding agents like Anthropic’s Claude Code into taking steps that hand control to attackers and expose a wide range of secrets.
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Harness Adds Autonomous AI Agents to Automate DevOps Workflows

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By Mike Vizard
| DevOps.com
Harness today is providing DevOps teams with an ability to build and deploy autonomous artificial intelligence (AI) agents that automate the delivery of code to production environments. Trevor Stuart, a senior vice president and general manager at Harness, said the Autonomous Worker Agents eliminate the need for fixed scripts with custom AI agents or ones provided by Harness that run in a sandbox container environment.
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AI Coding Costs Could Exceed Developer Salaries, Gartner Warns

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By James Maguire Verified
| DevOps.com
Enterprises rapidly adopting AI coding assistants may eventually face an unexpected financial reality: the AI tools could cost more than the developers using them. According to new research from Gartner, spending on AI coding agents is on track to surpass the average software developer’s salary by 2028, driven by the rapid growth of LLM token consumption and an industry-wide shift toward consumption-based pricing.
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Survey: More AI Code Running in Production Environments with Caveats

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By Mike Vizard
| DevOps.com
A global survey of 309 software engineering leaders, published today, finds 81% of organizations have to some degree reworked development and release processes to accommodate code generated using artificial intelligence (AI) coding tools. However, only 45% said their organization is running any of that code in production environments.
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The DevOps Practice Most Teams Skip When Adopting AI Agents

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By Shahram Anver
| DevOps.com
Every engineering team I talk to is adding AI agents to their workflow. Almost none of them are updating the practices around those agents. The DevOps practices we built over the last two decades apply directly, but the failure modes have changed. If you don’t adapt to a world where some of your developers aren’t human, you’ll ship bugs faster than you ever could before.
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Your AI Testing Framework Might Be Passing Tests It Should Be Failing

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By Saqib Jan
| DevOps.com
The integration of AI into software testing pipelines has moved past the experimental phase in most engineering organizations that were going to try it. Engineering teams are not evaluating whether AI belongs in their testing workflows anymore, but are discovering, sometimes painfully, that the architectural decisions they made when integrating it are the ones that will determine whether it improves their release confidence or quietly erodes it.
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How to Automate API Testing in CI/CD Pipelines

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By Marcus Keenton
| DevOps.com
If you’ve been in the DevOps world long enough, you’ve probably felt this pain: A developer pushes a perfectly working feature, the build passes, deployment goes through and then, three hours later, the support channel lights up because a downstream API is returning garbage. The feature worked. The API didn’t. This is exactly why API testing can’t be an afterthought anymore. With microservices now powering the majority of modern applications, APIs are the nervous system of your entire stack.
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OpenAI Codex – A New Frontier in Application Modernization

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By Saurabh Aggarwal
| DevOps.com
Why Claude Opus 4.8 Changes Everything: Models as Platforms, AI Microgravity & Graphify | Agents of Dev Episode 26 Email your questions and topics to the podcast here. Is your AI development stack quietly trapping you in a state of "microgravity" vendor lock-in?
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Building a Simple Event-Driven Application with Datadog Workflows

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By Logan Rohloff
| DevOps.com
Back in October 2022, I wrote a short blog post explaining how I automated our Datadog Marketplace sales cycle using a few AWS services and my first-ever Golang program. That basic, event-driven system saved our sales team several hours a week by replacing a manual process with something far more efficient.
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Shimel, Alan