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Harness is on a mission to make it easier for developers to do database migrations with its new AI-Powered Database Migration Authoring feature. This new capability allows users to describe schema changes in natural language to receive a production-ready migration. For example, a developer could ask “Create a table named animals with columns for genus_species and common_name. Then add a related table named birds that tracks unladen airspeed and proper name. Add rows for Captain Canary, African swallow, and European swallow.” Harness’ platform would then analyze the current schema and policies, generate a backward-compatible migration, validate the change for safety and compliance, commit it to Git for testing, and create rollback migrations. “This is more than an incremental feature – it’s a step toward AI-native DevOps, where systems understand intent, enforce policy, and automate delivery from code to cloud to database,” Harness wrote in a blog post . This new capability is a par...

Opsera Inc., the leader in AI-powered DevOps platforms, today unveiled its next-generation platform, establishing itself as the industry’s first end-to-end AI-driven DevOps solution. The release introduces the breakthrough Hummingbird AI Reasoning Agent, “Insights in a Box” for instant actionable intelligence, native integration with GitHub’s Model Context Protocol (MCP), now officially listed in GitHub’s MCP registry and a redesigned user experience. ‘Insights in a Box’ for GitHub ecosystem: Instant, Actionable DevOps Intelligence Opsera now delivers “Insights in a Box,” a fully integrated, AI-powered package that provides real-time visibility, Code AI assistant usage and adoption, impact, value, productivity metrics, and predictive recommendations from Day One. Without complex integrations or setup, teams gain contextual, data-driven intelligence to make faster decisions, reduce risk, and optimize software delivery outcomes. This solution combines enterprise-grade control an...

I spent decades mastering software architecture, only to discover that 70% of my hard-won expertise could now be delivered by AI in seconds. This should have terrified me. Instead, it set me free. Let me back up. I started my career as a software engineer and quickly progressed through the ranks to architect. Around the start of this century, Microsoft launched their Microsoft Certified Architects program—an exclusive certification requiring peer review of real-world architecture case studies. I flew to Singapore for my board review and became one of only 40 architects worldwide to earn that certification before Microsoft sunset the program due to costs. I co-authored a book on Professional UML with Visio, back when UML was the graphical standard for designing architecture. I’m telling you this not to wave credentials, but to establish something important: I lived and breathed architecture for years. And through all that experience, I discovered something fundamental. READ PART 1: W...

Red Hat is helping development teams speed up their workflows with the launch of a new portfolio of generative AI solutions called Red Hat Developer Lightspeed. “As the business world moves toward more specialized, domain-specific AI assistants, the demand for raw generative power evolves to delivering trustworthy, reliable and contextually relevant assistance. Red Hat Developer Lightspeed addresses this need by providing purpose-built AI tools that are deeply integrated into the software development lifecycle,” the company wrote in an announcement. Red Hat Developer Lightspeed has been integrated into both the Red Hat Developer Hub and the migration toolkit for applications (MTA) . In the Red Hat Developer Hub, it acts as an assistant to speed up non-coding tasks, like exploring application design approaches, writing documentation, generating test plans, and troubleshooting applications. Developers can use any public or self-hosted LLM to power Red Hat Developer Lightspeed, provi...

GitKraken, a company that specializes in improving the developer experience, today announced the launch of GitKraken Insights to provide companies with better insights into AI’s impact on developer productivity. According to the company, while many engineering teams have adopted AI at this point, it is still a challenge to prove AI’s ROI. GitKraken also believes that traditional engineering metrics weren’t designed for the AI era. “DORA metrics can tell you if deployment frequency changed, but they can’t tell you why,” the company wrote in a blog post . “Pull request counts might go up, but is that because developers are more productive, or because AI is generating code that requires more review cycles?” GitKraken Insights brings together several different metrics—DORA metrics, code quality analysis, technical debt tracking, AI impact measurement, and developer experience indicators—to paint a picture of what’s happening within the development lifecycle. The new offering was built ...

Spotify today announced that Spotify Portal for Backstage is now generally available, providing developers with a ready-to-use version of Backstage, its open source solution for building internal developer portals (IDPs). “Built on a decade of experience improving developer experience at scale, Spotify Portal combines developer velocity, operational insight, and AI-powered assistance into a single pane of glass. It’s the proven foundation for organizations that want to harness AI and platform engineering together to transform developer experience into a measurable business advantage,” Spotify wrote in an announcement. As part of this general availability release, the company added several new features to help further improve developer experience. It now includes access to Confidence, which is Spotify’s internal product experimentation platform that allows development teams to design, run, and analyze experiments within Spotify Portal so that they can validate ideas faster. Another ...

Couchbase, Inc. , the developer data platform for critical applications in our AI world, today announced Couchbase 8.0 , delivering end-to-end AI data lifecycle support for enterprises building AI applications and agentic systems. With the introduction of three distinct vector indexing and retrieval capabilities that support a variety of diverse vector workloads, Couchbase 8.0 provides a scalable, high performing, AI-ready data platform for building context-aware, real-time AI applications. Available for self-managed and Capella-based deployments, Couchbase 8.0, supports billion-scale vector search with millisecond latency, and tunable recall accuracy, at a low TCO across on-premises, cloud and edge deployments. “Scaling AI requires a developer database platform built for speed, throughput and reliability. With support for our Hyperscale Vector Indexing (HVI) and end-to-end RAG workflows, Couchbase stands out from other offerings in the market by providing more flexible and comprehens...

The Fintech Open Source Foundation (FINOS) today announced a new open source orchestration platform for process automation. The project, Fluxnova , provides audit-ready workflows so that companies can visualize and automate their processes, which is a crucial foundation for being able to modernize operations and maintain strong governance. It comes with a toolkit that developers can use to create and deploy Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN) models. These models enable business teams to have full visibility into where work sits, what comes next, and how service-level agreements are being met. Other key benefits include the ability to adapt to changes, advanced auditing, easy migration from legacy systems, a predictable long-term model under the FINOS, and a standards-first design incorporating AI, decision automation, and event-driven systems. Fluxnova was developed in partnership with Fidelity Investments, NatWest Group, Deutsche Bank,...

Sonar, a company that specializes in code quality, today announced a new solution that will improve how LLMs are trained for coding purposes. According to the company, LLMs that are used to help with software development are often trained on publicly available, open source code containing security issues and bugs, which become amplified throughout the training process. “Even a small amount of flawed data can degrade models of any size, disproportionately degrading their output,” Sonar wrote in an announcement . SonarSweep (now in early access) aims to mitigate those issues by ensuring that models are learning from high-quality, secure examples. It works by identifying and fixing code quality and security issues in the training data itself. After analyzing the dataset, it applies a strict filtering process to remove low-quality code while also balancing the updated dataset to ensure it will still offer diverse and representative learning. Some potential use cases for SonarSweep inc...

Companies today want to leverage their data to support business intelligence (BI) initiatives, but without the proper data connectivity processes and tools in place, that data could remain locked in silos. Enter the  Progress DataDirect Hybrid Data Pipeline (HDP) connectivity solution , which allows companies to securely connect cloud and on-premises data to BI tools. The HDP solution can not only be used to connect data internally, but can also be utilized by SaaS vendors to connect third-party data and reporting tools so they can deliver more value to their customers. For example, Onit, a company that helps companies manage their legal workflows, was finding that customers often would want to bring in their own reporting tools, often requiring custom work to set it up. Onit made an investment in the HDP solution as a way to be able to provide more benefits to its customers without needing to constantly build custom integrations. Thus, Onit started running the Hybrid Data Pip...

InstallAware , a company that provides software installation and repackaging solutions, announced a new tool that allows developers to easily port Windows apps to GNU/Linux or macOS. The Application Porting Toolkit works by installing the open-source Windows compatibility layer, Wine , then translating the setup instructions from the original Windows installer into instructions that can be used on other operating systems. For example, the original Windows setup instructions might specify to create files in “C:\Program Files” and the Application Porting Toolkit will redirect the files into “~/.wine/drive_c/Program Files.” Areas of the setup instructions that refer to the Windows Registry will be forwarded to Wine’s registry hives: “~/.wine/system.reg” and “~/.wine/user.reg.” According to John Gaver, director of InstallAware Skunkworks, this toolkit was inspired by Apple’s Game Porting Toolkit. “Instead of targeting only games, we figured we could support all kinds of applications,”...

AI is quickly becoming pervasive in software development and is changing the way developers build software. However, many enterprises have not invested in the key building blocks to sufficiently leverage this new technology. Software engineering leaders who fail to focus on the foundations of the AI-native era risk dooming their companies to irrelevance while faster, AI-enabled rivals seize innovation, revenue and market dominance. According to a recent Gartner survey, software engineering leaders who equip their teams with the right AI technologies can achieve productivity improvements of more than 25%. They must establish a new foundation that enables their teams to effectively co-create software with AI. To achieve this, software engineering leaders must invest in five foundational practices to set up their teams for AI-native engineering success. Practice 1: Platform Engineering Software engineering leaders should establish platform engineering teams to provision AI tools for...

Moving into AI-first development is a journey, and we’re all learning together. I want to share some bittersweet lessons from my recent experience that might save you from hitting the same walls I did. The “Secret” Everyone Knows Let’s address the elephant in the room. By now, there are probably a million YouTube videos titled “A Super Secret Trick To Make Your Coding Agent 20x Better.” You know the trick, I know the trick: create a detailed plan in a markdown file and direct the agent to execute it step by step. Armed with this knowledge, my trusted army of agents and I were happy campers for several days of non-stop AI coding. In AI terms, that’s significant—countless tokens, kilowatts of electricity, and increasingly capable agents working in harmony. It was an idyll with me being the conductor of the agentic orchestra, or if you want a warmer metaphor, my agents being trusty golden retrievers happily bringing the ball back over and over again. The project grew to 158 source cod...

Microsoft announces general availability of Azure DevOps local MCP Server  The MCP server acts as an intermediary between AI assistants and the Azure DevOps organization. It can help inject context from Azure DevOps, like work items, pull requests, and test plans. By adding this context to prompts, the LLM can provide more relevant answers that are tailored to the users Azure DevOps project. According to Microsoft, it supports most of the main areas of Azure DevOps, including work items, wiki, repos, search, and test plans. Because it is local and not a remote MCP Server, it runs inside the network or local development environment, ensuring that private data doesn’t leave the system. Google introduces Coral NPU, Veo 3.1 in Gemini API, and interactive commands in Gemini CLI Google this week announced that the latest version of its image generation model Veo is now available in the Gemini API. Veo 3.1 can generate richer native audio, has an improved understanding of cinematic ...

Oracle has announced the launch of a new marketplace to help customers find and deploy validated AI agents that can be used within Oracle Fusion Applications, its suite of cloud-based modular business applications. The AI Agent Marketplace includes agent templates built by Oracle partners to help with various business processes, including finance, HR, supply chain, and customer experience. For example, IBM created a Smart Sales Order Entry Assistant agent to help cut down on manual order entry errors and accelerate order capture, Box offers a Data Extraction agent for the Oracle Digital Assistant that extracts metadata or structured content from documents stored in Box, and Stripe built an Infosys Invoice Collection AI that can help with payment processing and reminder. According to Oracle, agents can be deployed in one-click using natural language, eliminating the need for complex integration code. The agents are also designed as templates, allowing customers to modify them to mee...