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Developers will be able to use the Serverless MCP Server by prompting their AI-driven coding agents to design, deploy, and troubleshoot serverless applications.
GenAI coding assistance capabilities are evolving quickly as developers and devops teams find new ways to integrate AI copilots into the software development lifecycle.
With AI introducing errors and security vulnerabilities as it writes code, humans still have a vital role in testing and evaluation. New AI-based review software hopes to help solve the problem.
.NET Aspire 9.3 also boasts dashboard improvements for resource tracing and easier access to a resource’s telemetry, commands, URLs, and more.
Claude Opus 4 is the world’s best coding model, Anthropic said. The company also released a safety report for the hybrid reasoning models.
Windows AI Foundry supersedes Windows Copilot Runtime, as Microsoft doubles down on delivering AI-powered applications on Windows.
Integrated suite of tools includes an internal developer platform, trusted software supply chain capabilities, and integration with the Red Hat OpenShift cloud platform.
The Python ADK is now ready for building and deploying intelligent agents in live environments, Google says, while the Java ADK is an initial release.
Building a database-backed web application with Gemini in Firebase is far from perfect, but it’s better than coding without AI.
GitHub Copilot coding agent spins up its own development environment to work on GitHub issues, pushing its changes to a draft pull request.
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