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The latest AI news, analysis and insights from DevOps.com.

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AI

I Don’t Just Manage Engineers Anymore. I Manage Agents Like a Team

AI coding agents are no longer just productivity tools. They’re becoming active members of engineering teams, opening pull requests, triaging tickets and handling operational tasks. But managing them requires more than better prompting. Engineering leaders must establish clear assignments, standing orders, automated verification and feedback loops that turn autonomous agents into reliable contributors without sacrificing human judgment.

Mayank Jain · Nov 9, 2026
AI

Leah Adds Natural Language Harness to AI Software Factory

Leah has added Harness Builder to its Maestro platform, enabling professional developers and business users to create applications through natural language prompts. By combining AI agents, software factory workflows and governance controls, the company aims to simplify application development while helping organizations maintain security, consistency and oversight.

Mike Vizard · Nov 6, 2026
AI

Blitzy Partners with Microsoft Frontier Company to Bring AI to Azure Workload Migrations

Blitzy, a provider of an artificial intelligence model that establishes the relationship between all the software artifacts in an IT environment, today announced it has allied with the Microsoft Frontier Company to help DevOps teams refactor existing applications in a way that makes it simpler to move them to the Microsoft Azure cloud service. As […]

Mike Vizard · Nov 5, 2026
AI

Meta Acquires Conductor to Support Multi-Agent AI Coding

Meta has acquired AI coding startup Conductor, a deal that extends the social media giant’s developer tools portfolio as it competes with OpenAI and other leading AI vendors. Conductor’s platform enables software developers to manage multiple AI coding agents working on different tasks within a single project. While individual AI coding assistants can generate and […]

James Maguire · Nov 5, 2026
AI

Gas Town Builder: All AI Software Factories Are Bespoke

Gas Town creator Steve Yegge warns that AI-powered software factories are inherently bespoke and require ongoing human supervision. As autonomous agents take on more development tasks, DevOps teams must evolve into leaders capable of managing AI behavior, resolving conflicts and guiding software innovation.

Mike Vizard · Nov 4, 2026
AI

Godfather of DevOps Advises Software Engineers to Brace for Agentic AI Impact

Patrick Debois, the godfather of DevOps and co-author of The DevOps Handbook who now serves as the product DevRel lead at Tessl, is advising DevOps teams to brace for a wave of agentic artificial intelligence (AI) engineering where more tasks are executed in parallel. Speaking at an AI DevCon event hosted by Tessl, Debois told […]

Mike Vizard · Nov 3, 2026
AI

Anthropic Calls for Leaner Harnesses for Agentic AI Development

Anthropic is advising DevOps teams to rely on lighter-weight harnesses to drive agentic engineering workflows to de-duplicate instructions in a way that ultimately reduces costs. Speaking today at an AI DevCon event hosted by Tessl, Nicolas Carmont Zaragoza, a member of the technical staff for Anthropic, told conference attendees that in many cases the harnesses […]

Mike Vizard · Nov 3, 2026
AI

Tessl Adds Reusable Loops to AI Software Factory Platform

Tessl this week revealed it has added ready-to-use loops that DevOps teams can now invoke and customize to drive agentic engineering workflows. Speaking at the company’s AI DevCon event, Tessl CEO Guy Podjarny told conference attendees that the company is moving to make it simpler to combine AI skills and self-optimizing loops to create a […]

Mike Vizard · Nov 3, 2026
AI

GitLab Bets Context, Not Bigger Models, Will Fix AI Agent Costs

GitLab has launched Orbit, a context graph designed to give AI coding agents a more complete view of the software development lifecycle. With claims of up to 45x fewer hallucinations and 4.5x fewer tokens, GitLab is betting that better context, rather than bigger models, is the key to more reliable agentic development.

Tom Smith · Nov 2, 2026
AI

AI Coding Assistants’ Built-In Browsers Open a Path to Developer Secrets

Security researchers uncovered a class of embedded-browser vulnerabilities affecting five popular AI coding tools, including Cursor, Copilot, Codex, VS Code and Claude Desktop. The findings reveal how malicious pages can exploit trusted AI workflows to steal credentials, access local files and even persuade agents to disable their own safeguards.

Tom Smith · Nov 2, 2026
AI

IBM Extends Scope and Reach of DevSecOps Workflows in the AI Era

IBM is expanding its Terraform infrastructure-as-code platform and Bob AI coding assistant with new policy-as-code capabilities, automated vulnerability remediation and AI governance integrations. Announced at IBM TechXchange 2026, the updates aim to help DevSecOps teams securely manage infrastructure and accelerate software delivery as AI agents become more deeply embedded in development workflows.

Mike Vizard · Nov 1, 2026
AI

Amazon Warns Engineers Against Tokenmaxxing as AI Costs Mount

Amazon has issued new guidelines for its software engineers that discourage excessive use of AI tools simply to boost productivity metrics, signaling a shift in how the company evaluates AI’s contribution to software development. The guidelines address tokenmaxxing, a practice in which employees use huge volumes of AI tokens to demonstrate their use of the […]

James Maguire · Oct 29, 2026
AI

GitHub Adds Tools to Manage AI Coding Agents Running in Parallel at Scale

GitHub today made a bevy of updates that collectively promise to make it simpler for DevOps teams to build and maintain workflows using artificial intelligence (AI) agents. Announced at the GitHub Universe conference, Jay Parikh, executive vice president for CoreAI at Microsoft, also provided additional insights into the investments that Microsoft is making to ensure […]

Mike Vizard · Oct 28, 2026
AI

How to Secure AI-Generated Code Across an Enterprise SDLC

Broken access control has topped the last two editions of OWASP Top 10, with OWASP finding some form of it in every application in its dataset. AI coding assistants are making this worse because correct access rules depend on business logic that rarely makes it into the prompt and is hard to test. For enterprises, […]

Anastasios Arampatzis · Oct 27, 2026
AI

AWS Delivers AI Service to Discover Vulnerabilities and Generate Patches

Amazon Web Services (AWS) has made generally available a service through which it finds and validates code vulnerabilities and provides a patch that DevSecOps teams can then automatically apply or set up a pull request to implement. Dr. Neha Rungta, director of applied science at AWS, said the AWS Continuum service for code vulnerabilities is […]

Mike Vizard · Oct 27, 2026
AI

Gheist Hackers Abuse GitHub Tokens to Steal Repository Secrets

The evolving Gheist campaign uses stolen GitHub tokens and malicious Actions workflows to extract repository secrets and cloud credentials. While GitHub protections have blocked observed attacks on public repositories, private environments remain exposed.

Jeff Burt · Oct 27, 2026
AI

Claude Writes 180 Million Lines of Proofs to Verify 123 Open Source Libraries

Formal verification has long been the gold standard for software correctness. It has also been too expensive for almost everyone. New research from Anthropic suggests that’s changing. Anthropic’s Frontier Red Team, working with formal methods company Theorem, used Claude to prove security properties in the compiled code of 123 open-source libraries from Google’s OSS-Fuzz project. […]

Tom Smith · Oct 23, 2026
AI

The Automation Confidence Gap: When Should AI Be Allowed to Change Production?

AI-generated infrastructure recommendations can look convincing, but production execution requires more than a plausible runbook. A seven-factor confidence index helps platform teams determine when AI should recommend, seek approval or execute changes within strictly enforced boundaries.

Pramod Kumar Muppala · Oct 23, 2026
AI

Hackers Inject Credential-Stealer, RAT Into LiteLLM

Attackers compromised a version of LiteLLM this week by injecting malicious code into all seven of its published Python wheels on PyPI, delivering a package that included an infostealer to exfiltrate credentials and secrets and a remote access trojan (RAT) that could let bad actors run arbitrary code on infected machines. The compromised version – […]

Jeff Burt · Oct 23, 2026
AI

Linux Foundation: AI Speeds Development, but Low-Quality Code Strains Maintainers

A new Linux Foundation study finds that generative AI is delivering big productivity gains for open source software developers, but AI is also creating an influx of low-quality code submissions that need time-consuming human review. The research found that an estimated 25% of incoming pull requests, which are proposed changes to software projects, are considered […]

James Maguire · Oct 22, 2026
AI

When the Agent is the Incident

When AI remediation agents make the wrong infrastructure decisions, automated fixes can quickly escalate into major incidents. This seven-step incident response playbook explains how to stop unsafe agent actions, block tool access, preserve forensic evidence and restore services without triggering further damage. A Kubernetes simulation demonstrates why stopping an agent worker alone is not enough.

VISHAL KUMAR BHAGCHANDANI · Oct 22, 2026
AI

Survey: AI Coding Tools Increase Open Source Software Dependencies

A survey of 307 enterprise technology leaders finds that as organizations rely more on artificial intelligence (AI) coding tools to build applications, they are simultaneously increasing the amount of open source software they are dependent on. Conducted by the market research firm Moving Horizon on behalf of ActiveState, a provider of a platform for accessing […]

Mike Vizard · Oct 21, 2026
AI

mabl Adds Harness to AI Testing Automation Platform

Mabl today extended its test automation platform with a harness that, in addition to enforcing guardrails and testing standards for artificial intelligence (AI) agents, enables application development teams to better understand the impact of code changes before a pull request (PR) is made. Announced at a mabl Experience event, the extensions to the test automation […]

Mike Vizard · Oct 21, 2026