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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 create structured, enforceable rules. Finally, Qodo has added an ability to discover AI skills that contain code review instructions, coding standards, and engineering best practices across multiple repositories. The platform surfaces those skills in a portal that enables DevOps teams to centrally manage and assess their impact on software engineering workflows. Qodo CEO Itamar Friedman said these capabilities extend an agentic AI platform for governing code that is based on graph technology that tracks the relationships that exist between code. Whenever a pull request (PR) modifies a shared dependency, the agent reads the rep...
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HeroDevs Allies with Commonhaus Foundation to Support Open Source Software

HeroDevs this week revealed it has joined the Commonhaus Foundation as the founding member of the Open Source Sustainability Initiative (OSSI) after establishing partnerships with the open source Hibernate, Jackson, and Quarkus communities to provide commercial support for older versions of these frameworks. OSSI is a framework administered by the Commonhaus Foundation through which governance of open source software projects is provided. HeroDevs COO Rob Nalen said the provider of end-of-life support services for open source software sees a clear need to work more closely with maintainers of open source projects that don’t have the resources required to support enterprise IT organizations that for one reason or another are not able to upgrade to the latest version of an open source software framework in a timely manner. The alliance between HeroDevs and the Commonhaus Foundation, in effect, buys enterprise IT teams, especially if they operate in highly regulated industries, the ti...
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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 weeks or months to discover. That capability is now more critical than ever at a time when AI tools are generating massive amounts of code that is overwhelming the ability of humans to actually review, he added. The Undo platform records the complete execution of a program, including every instruction, variable, thread event and system call. That approach captures causality in a way that is deeper than what can be diagnosed solely by relying on log analytics and traces, said Law. An AI agent can then query the recording in the same way they reason about static code to determine exactly how an application functions, he added. Armed with those ins...
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Microsoft Brings the Azure SDK for Rust to General Availability

Microsoft has moved the Azure SDK for Rust out of beta and into general availability, giving Rust developers a stable, production-ready way to connect to core Azure services. The release covers Core, Identity, Key Vault (Secrets, Keys, and Certificates), and Storage (Blobs and Queues), built around the same design patterns already used in the .NET, Java, JavaScript, Python, Go, and C++ SDKs. The announcement came as part of Microsoft’s May 2026 Azure SDK release, and was detailed separately in a post from Ronnie Geraghty, product manager for the Azure SDK. He framed the milestone with a simple scenario: a Rust service that signs in with Microsoft Entra ID, retrieves a signing key from Key Vault, pulls work items from a Storage Queue, and writes the results to Blob Storage. Every piece of that chain is now stable. That stability matters more than it might sound. A beta SDK is fine for experimentation, but most engineering teams won’t put it in front of production traffic. W...
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Salesforce vs Dynamics 365 CE DevOps: A Practical Comparison for Enterprise Teams

Most organizations running CRM platforms eventually face the same challenge: how to deploy changes safely, consistently, and quickly. While Salesforce and Dynamics 365 Customer Engagement (CE) support modern DevOps practices, they approach application lifecycle management differently. Understanding these differences can help teams design more effective deployment pipelines and avoid common release issues. As these platforms become increasingly critical to business operations, the need for effective DevOps practices has grown significantly. Unlike traditional software applications, CRM platforms combine configuration, metadata, security models, workflows, integrations, and custom code into a single ecosystem. A deployment rarely consists of code alone. It often includes business processes, user interface changes, security updates, automation rules, and integration modifications. This creates a unique challenge for DevOps teams. A seemingly small change can affect multiple business func...
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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, where he served as chief product officer. However, Plassnig was also one of the founders of Codeship, a provider of a hosted continuous integration and continuous delivery (CI/CD) platform that CloudBees acquired in 2018. As the way applications are built and deployed fundamentally changes, DevOps workflows will need to evolve to accommodate massive amounts of code that is being generated by both professional developers and, increasingly, so-called citizen developers, said Plassnig. In fact, writing code is no longer a constraint, he added. Before too long, end users will routinely express an intent that will be converted into a set ...
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CData Gives Developers Free Access to the Data Layer That IT Already Trusts

Most enterprise AI projects don’t fail because of the model. They fail because getting clean, governed access to production data is slow, political, and manual. Every new data connection requires IT involvement. Every new agent adds more surface area to manage. And every developer who goes around IT creates a new problem for someone else to clean up later. CData is trying to fix that with three new releases aimed directly at developers: Connect AI Developer Edition (free), the CData Connect AI Python SDK (open source), and CData CLI. The announcement, set for June 23, reflects a deliberate shift in how CData positions its platform. The company has been building enterprise data connectivity since 2014, starting with a driver catalog that let developers query Salesforce, Workday, Oracle, and hundreds of other systems through standard interfaces like JDBC and ODBC. Connect AI is the modern version of that same core capability, packaged as a SaaS product with MCP support, governance...
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