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Showing posts from February, 2026

Survey: Adoption of AI Software Testing Slowed by Trust Issues

A new global survey from Leapwork underscores a growing tension in software development: while AI is widely viewed as essential to the future of testing, many teams remain hesitant to rely on it for mission-critical workflows. Based on responses from more than 300 engineers and IT decision-makers, the research indicates that enthusiasm for AI-enabled testing is high. […] from DevOps.com https://ift.tt/0CBVzur

AWS Just Turned “Deploy to AWS” Into a Five-Word Prompt

AWS Agent Plugins give coding agents the skills to architect, estimate costs, and deploy to AWS. Type "deploy to AWS" and the agent handles the rest. from DevOps.com https://ift.tt/Nt7Jj6A

When DevOps Meets the Cloud: A Real-World Transformation Story

A real-world DevOps and cloud transformation story showing how automation, observability, and cultural change improved reliability and delivery. from DevOps.com https://ift.tt/g09sYKp

Why AI Makes Requirements a Runtime Artifact 

In traditional software, requirements are static design-time artifacts. In AI-enabled systems, they must be continuously observed and enforced in production. Learn how AI collapses the boundary between design-time and runtime, shifting requirements toward behavioral constraints, continuous verification, and shared ownership across engineering and operations from DevOps.com https://ift.tt/2YmVaxn

What to do About AI’s Forced Rethink of Reliability in Modern DevOps 

As systems become more distributed and AI-driven, traditional uptime metrics are no longer enough. The 2026 SRE Report shows how reliability is shifting toward user experience, speed, and business impact, and how AI is reshaping monitoring, incident response, and the role of SRE and DevOps leaders. from DevOps.com https://ift.tt/i17alzA

Test Automation Strategy for Growing Software Teams

Build a scalable test automation strategy that improves release speed, reduces defects, and supports growing software teams. from DevOps.com https://ift.tt/yA4cGSo

Checkmarx Extends Vulnerability Detection to AI Coding Tool from AWS

Checkmarx this week revealed it has added support for the Kiro artificial intelligence (AI) coding tool provided by Amazon Web Services (AWS) to its Checkmarx Developer Assist that leverages AI to surface vulnerabilities before code is committed. The Checkmarx IDE extension for Kiro is designed to be activated from within the Developer Assist tab that […] from DevOps.com https://ift.tt/5i9EPWB

GitHub Tests AI Agents to Handle Repository Upkeep

GitHub is introducing a new approach to streamline developer workflow, offering AI agents that can shoulder the repetitive tasks that accumulate inside code repositories. Known as Agentic Workflows, the feature is available in technical preview and is designed to embed AI into GitHub Actions as an integrated part of the production process. GitHub promotes Agentic […] from DevOps.com https://ift.tt/onVXOa4

Secrets Management Failures in CI/CD Pipelines 

Explore the critical role of secrets management in CI/CD pipelines and its impact on cybersecurity. This article highlights the risks of credential exposure, the importance of implementing strong security practices, and how organizations can ensure robust defenses against breaches and supply chain attacks. from DevOps.com https://ift.tt/x1Lq5P6

CredShields Contributes to OWASP’s 2026 Smart Contract Security Priorities

SINGAPORE, Singapore, 17th February 2026, CyberNewswire from DevOps.com https://ift.tt/tzXWQNe

Cline CLI 2.0 Turns Your Terminal Into an AI Agent Control Plane

Cline CLI 2.0 brings full AI coding agents to the terminal with parallel execution, headless CI/CD mode, and ACP editor support. Open source, any model. from DevOps.com https://ift.tt/dLj8f3J

Forget the Vibe-Coders, We Need to Support Responsible AI-Assisted Development 

While AI tools are increasingly used in development, they should enhance rather than replace human input. Developers must shift from merely writing code to orchestrating and validating AI-generated code. This 'spec coding' emphasizes creating specifications that guide both AI and human efforts. Infrastructure must support this transition, with safeguards like reliable build pipelines and automated security scans. Ultimately, AI is a tool to aid developers, but the nuanced responsibilities of design, security, and performance remain firmly in human hands, ensuring responsible and effective use. from DevOps.com https://ift.tt/7h5OfqC

TypeScript 6.0 Sets Stage for Performance-Focused 7.0

Microsoft has released the beta of TypeScript 6.0, highlighting what the company describes as a transitional moment for the widely used programming language. The release will be the final version built on the JavaScript codebase, with TypeScript 7.0 slated to introduce a compiler and language service rewritten in Go. For more than a decade, TypeScript […] from DevOps.com https://ift.tt/cNahbyL

Open Source’s ‘Eternal September’, GitHub Keeps Maintainers Covered for All Seasons

Open source is experiencing an "Eternal September" due to a massive influx of contributions fueled by AI. While this increases engagement, it overwhelms maintainers. GitHub is introducing tools like interaction limits and improved triage to protect maintainer sustainability and trust. from DevOps.com https://ift.tt/m6dIWMe

SRE vs. DevOps is a False Choice: Here’s the Unified Model That Works 

DevOps and site reliability engineering (SRE) are complementary strategies that enhance both speed and reliability in software development. While DevOps focuses on collaboration and automation to break down silos between development and operations, SRE emphasizes engineering reliability through metrics and accountability. By integrating both approaches, organizations can foster high-quality software delivery that meets reliability standards, streamline incident response, and utilize data-driven decision-making to maintain system performance. from DevOps.com https://ift.tt/yOvDuag

Beyond Automation: How Generative AI in DevOps is Redefining Software Delivery 

Generative AI (GenAI) is revolutionizing DevOps by automating manual tasks, enhancing productivity, and reducing errors. By integrating GenAI, teams can streamline workflows and democratize expert knowledge. However, managing risks such as data privacy and AI-generated errors remains critical. from DevOps.com https://ift.tt/0R8FDi4

Bridging the Dev–Security Gap With Smarter Authorization

Software teams have always lived with a built-in tension – developers push to ship fast, while security teams pump the brakes to assess risk. Now, with AI flooding the enterprise, that friction is spiking. One recent survey found a staggering 322% jump in privilege-escalation risks tied to AI-generated code. The root problem isn’t new – […] from DevOps.com https://ift.tt/r2s1V5x

Arcjet SDKs Make It Simpler for Developers to Include Security Functions

Arcjet this week made available a software development kit (SDK) that makes it simpler for JavaScript developers to embed capabilities such as bot detection, rate limiting, email validation, attack protection and data redaction directly within their applications. Company CEO David Mytton said the release of v1.0 of its Arcjet JavaScript SDK makes it possible for […] from DevOps.com https://ift.tt/T8cj47e

When Open Networks Meet AI Coding: A Tsunami of Smart Enterprise Apps 

The enterprise technology landscape is on the verge of a major transformation, driven by two key trends: open telecom network APIs and AI-powered coding platforms. This convergence allows businesses to create intelligent, network-aware applications rapidly, empowering them to leverage connectivity in innovative ways. As telcos position their networks as programmable platforms, and AI simplifies software development, organizations can expect a significant acceleration in application creation, leading to new business models and enhanced digital transformation. from DevOps.com https://ift.tt/a09hYlj

CodeHunter API Integrates Deterministic AI Models into DevSecOps Workflows

CodeHunter, a provider of behavioral malware analysis and threat intelligence tools, today announced it is making available an application programming interface (API) to make it simpler to embed the capabilities it provides within a DevSecOps workflow. At its core, CodeHunter makes use of a set of deterministic AI models that it has developed to analyze […] from DevOps.com https://ift.tt/3hHQpXW

How AI Helps Teams Track Dependencies and Reduce Delivery Risk

AI is showing up everywhere in software delivery, but project management is where a lot of the real friction lives. Newly appointed Planview CEO Matt Zilli talks through why planning and delivery still break down inside modern organizations, even when teams have more data and more tools than ever. Zilli’s point is simple: the problem […] from DevOps.com https://ift.tt/lkeGFcP

Former GitHub CEO Bets $60M That Developer Tools Need a Factory Reset for the AI Age

Thomas Dohmke's new company, Entire, aims to redefine the software development lifecycle for AI-driven coding by focusing on post-code generation processes. With a $60 million seed round, Entire's first product, Checkpoints, enhances visibility into AI-generated code, addressing the challenges of governance and review for DevOps teams. from DevOps.com https://ift.tt/HCa5oOe

CodeRabbit Adds DevOps Planning and Review Tool for AI Prompts

CodeRabbit today made available in beta a planning tool that enables DevOps teams to determine which artificial intelligence (AI) prompts to create and review before embedding them within their workflows. David Loker, vice president of AI for CodeRabbit, said CodeRabbit Issue Planner will enable DevOps teams to collaboratively apply AI to workflows versus relying on […] from DevOps.com https://ift.tt/9U4oQ6v

Survey: Java Developers Wrestling With Massive Amounts of Technical Debt

A global survey of 2,039 Java developers published today finds 63% reporting that dead and unused code adversely affects their team’s productivity, with 22% describing the impact of that technical debt as being severe. Conducted by Dimensional Research on behalf of Azul, a provider of a distribution of OpenJDK, the survey also finds that more […] from DevOps.com https://ift.tt/B8eOA9H

Salesforce Freezes Heroku Feature Development, Signals Long-Term Shift

Salesforce has confirmed it is stepping back from active development of Heroku, creating a turning point for one of the cloud industry’s most influential platform-as-a-service offerings. While the company insists the service remains fully supported, the decision to halt new feature development and stop selling enterprise contracts to new customers indicates a broader strategic shift […] from DevOps.com https://ift.tt/wK5tvWq