Wassette: A bridge between Wasm and MCP
Microsoft’s fascination with AI agents as a tool for developers continues with Wassette, a new open source release from its Azure Core Uptime team. Built in Rust and designed to host pieces of functionality written as WebAssembly Components, it’s a first step to delivering customizable and composable functionality that can be deployed as a tool […]
Read MoreClaude Sonnet 4 upgrade enables full codebase processing in a single request
“With expanded context windows, enterprises can potentially accelerate their development and debugging at scale,” said Neil Shah, vice president for research and partner at Counterpoint Research. “Over time, as models become more proficient in generating, validating, and refining boilerplate code, enterprise-grade quality output would be the north star. This gives the enterprise time-to-optimize and time-to-market […]
Read MoreDevops, SRE and platform engineering: What’s the difference?
Benjamin Brial, founder of platform engineering company Cycloid.io, emphasizes that all three “share a common goal, which is to improve the efficiency, reliability, and speed of software delivery. Each plays a role in bridging the gap between developers and operations, but they have different focuses and methodologies.” “While all have a different focus, they all […]
Read MoreWho does the unsexy but essential work for open source?
Walk into any developer conference and you’ll see a predictable parade of laptop stickers: the cloud-native darlings, the hip new database, the obligatory mascot or two. It’s the developer variation of virtue signalling or calling out one’s tribe. What you won’t see—at least not often—are the logos of the companies that quietly push more code […]
Read MoreGetting started with A2A in .NET
The first release of the SDK covers most key features of the protocol: handling agent capability discovery, direct messaging, task-based interactions, and working with streaming data. It supports quick interactions, long workflows, and real-time operations. On the remote agent side, you can use ASP.NET Core to add A2A support to existing agents. The .NET A2A […]
Read MoreGoogle rolls out AI coding tool for GitHub repos
Google has introduced Gemini CLI GitHub Actions, a no-cost, autonomous agent for GitHub repos that works asynchronously in the background on routine coding tasks. The product is currently in beta. Announced August 6, Gemini CLI GitHub Actions can be found on GitHub at google-github-actions/run-gemini-cli. The tool acts both as an autonomous agent for critical routine […]
Read MoreShould public clouds enforce government policies?
In the world of cloud computing, trust is everything. Businesses migrate to the cloud because they expect reliability, scalability, and uninterrupted operations, regardless of their location or external pressures that may arise. But what happens when these foundational expectations are jeopardized? Recent events involving Microsoft and Nayara Energy suggest that trust in public cloud providers […]
Read MoreAnthropic targets DevSecOps with Claude Code update as AI rivals gear up
“This enables more intelligent, high-confidence findings,” said Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research. “This is especially relevant as GenAI-driven development, often referred to as ‘vibe coding’, increases code velocity and complexity. To truly reshape enterprise DevSecOps, Claude must prove its resilience at scale across sprawling codebases, bespoke threat models, and varying compliance mandates.” […]
Read MoreGoogle Spanner gets a columnar engine to unite OLTP and OLAP workloads
Google has updated its managed database service — Spanner — with a new columnar engine to help enterprises run complex analytical queries on real-time transactional data for better decision-making. The update, currently in preview, will tackle a typical challenge that most enterprises face: running a database that can handle both online transaction processing (OLTP) and […]
Read MoreWhy benchmarks are key to AI progress
Benchmarks are often reduced to leaderboard standings in media coverage, but their role in AI development is far more critical. They are the backbone of model evaluation—guiding improvements, enabling reproducibility, and ensuring real-world applicability. Whether you’re a developer, data scientist, or business leader, understanding benchmarks is essential for navigating the AI landscape effectively. At their core, benchmarks are standardized evaluations designed to measure AI capabilities. Early […]
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