Survey: More AI Code Running in Production Environments with Caveats
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. Conducted by Dimensional Research on behalf of […]
The DevOps Practice Most Teams Skip When Adopting AI Agents
Code generation got fast. The competitive advantage is now in the Second and Third Ways. If you don’t have instruction files in your repo, start there. If you do, monitor how often they’re updated.
How to Automate API Testing in CI/CD Pipelines
Automating API tests and plugging them directly into your CI/CD pipeline is no longer a complex undertaking reserved for large engineering teams.
Your AI Testing Framework Might Be Passing Tests It Should Be Failing
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.
Survey Surfaces Rise in IT Incidents Attributable to AI Coding Tools
A survey of 406 IT decision makers at organizations with more than 250 employees in North America finds 93% have experienced at least one infrastructure incident caused by reliance on artificial intelligence (AI) tooling. Conducted by Panterra Group on behalf of Spacelift, a provider of a platform for automating the management of infrastructure-as-code (IaC), the […]
AI Is Accelerating How Fast We Build the Wrong Thing
AI coding assistants have made it trivially easy to ship software faster — and that is precisely the problem. Human developers used to absorb the gaps in a vague spec by asking questions, reading between the lines and quietly steering toward something useful. AI tools do not work that way. They take incomplete requirements at […]
How AI Is Transforming DevOps and Cloud Engineering
While AI is often associated with chatbots or generative models, one of its most significant impacts is happening behind the scenes — within DevOps and cloud engineering.
The Bottleneck Isn’t Coding Anymore. It’s Verification
The teams that come out ahead in the next two years won’t be the ones that adopted agents fastest. They’ll be the ones that invested in verification capacity with the same seriousness they invest in production capacity: Tests, policies, audit logs, rollout controls.
Akrites: The Latest Attempt to Protect Open-Source From AI Attacks Has Arrived
Akrites, a new Linux Foundation initiative backed by many of the world’s largest tech and financial firms, is the industry’s latest attempt to get ahead of AI‑accelerated software supply chain risks by hardening critical open source projects before attackers can exploit them. On June 25, the Linux Foundation unveiled Akrites, a coordinated industry program designed […]
AI Is Exposing a Growing Blind Spot in Open Source Security
With AI, teams across organizations are now building internal applications faster than ever, often pulling in open source libraries and frameworks without much thought about long-term support, lifecycle management, or security ownership. An unintended consequence of this is that unsupported open source software (OSS) is quietly spreading across environments faster than security and engineering teams […]
Qodo Extends Reach and Scope of AI Code Review Platform
Qodo this week extended its platform for managing code quality and governance to enable an artificial intelligence (AI) agent to review code spanning multiple repositories. Additionally, version 2.8 of the Qodo platform adds a custom rules miner that discovers coding patterns from existing codebase behavior and pull request (PR) history that are then used to […]
Undo Enables AI Agents to Diagnose Root Cause of Application Issues
Undo today revealed that its platform for recording interactions within applications can now be accessed by artificial intelligence (AI) agents via a Model Context Protocol (MCP) server. Company CEO Greg Law said this Undo AI capability makes it simpler for any agent to discover the root cause of any issue that otherwise would have required […]
Newly Appointed CloudBees CEO Charts Agentic AI Engineering Course
The newly appointed CEO of CloudBees, Mo Plassnig, says that as the agentic artificial intelligence (AI) era dawns, the time has come to reinvent software engineering in a way that moves beyond human-centric tooling. Plassnig, who earlier this month succeeded Anuj Kapur, joins CloudBees from Immuta, a provider of a data security and governance platform, […]
CData Gives Developers Free Access to the Data Layer That IT Already Trusts
CData launches Connect AI Developer Edition, a free Python SDK, and CLI to give developers governed enterprise data access across Salesforce, Snowflake, and hundreds of other systems.
Why Every DevOps Engineer is Suddenly Learning MCP
Before they were everywhere, developers spent ages stitching systems together, one by one. APIs changed everything. MCP wants to do the same for AI.
NVIDIA Research Bets on Code, Not Tool Calls, to Fix AI Spatial Reasoning
NVIDIA’s SpatialClaw uses code, not tool calls, to boost AI spatial reasoning by 11.2 points across 20 benchmarks and six model sizes.
Why the RAMpocalypse is the Next Frontier for DevOps, not the End of the Line
Ultimately, it’s up to developers to decide what to take from this RAMpocalypse. But if they choose to embrace the lessons it’s teaching us about optimisation and embed it as a core discipline with teams, they could reap the rewards.
SDLC Data Governance Critical as AI Systems Outpace Human Oversight
As adoption of agentic AI accelerates, with limited human participation, the question has shifted from how fast teams can ship software to what was shipped, why it changed, what influenced those decisions along the way. Also of concern is whether compliance and security requirements have been met. This is why governance designed for an AI-driven […]
GitHub Retires Its Free AI Model Playground — What Developers Need to Know
GitHub is retiring GitHub Models, closing it to new customers. Existing users can continue for now; Azure AI Foundry is the path forward.
Microsoft Enlists AWS to Help GitHub Handle Explosive Growth in AI Development
Microsoft has reportedly begun using Amazon Web Services to provide additional computing capacity for GitHub as a dramatic rise in AI-assisted software development places unprecedented demands on the coding platform. The news is unexpected from Microsoft, which has spent years positioning Azure as the destination for GitHub’s long-term infrastructure. Since acquiring GitHub in 2018, Microsoft […]
Autonomous AWS Agent Automates Modernization of Codebases
Amazon Web Services (AWS) today made available a preview of an artificial intelligence (AI) agent that has been trained to continuously modernize codebases. Announced at the AWS New York Summit, the AI agent is being embedded into AWS Transform, the application modernization service AWS launched last year. Sriram Devanathan, director of AWS Transform, said the […]
AWS Continuum Service Employs AI to Secure Software Supply Chains
Amazon Web Services (AWS) today launched a service that expands the scope of the artificial intelligence (AI) tools it provides to secure code to include an agent that discovers, validates and prioritizes vulnerabilities that are then used to surface a remediation recommendation. Announced at the AWS New York Summit, the AWS Continuum service also adds […]
AWS Previews Release Management Capabilities Added to DevOps Agent
Amazon Web Services (AWS) today previewed a release management capability for the artificial intelligence (AI) agent it developed to automate DevOps workflows. Announced at the AWS New York Summit, the latest release of the AWS DevOps Agent makes available in preview an updated version of the AWS DevOps Agent that can now review and test […]