GitHub Copilot Cloud Agent Adds Faster AI Models for Simple Coding Tasks

Companies everywhere are trying to leverage AI to boost internal productivity metrics. Some, like Ramp and Intercom, are succeeding. Many are failing. To make matters more complicated, the narrative around what tooling enables these gains is constantly shifting. For software engineers, auto-complete via GitHub Copilot was the bleeding-edge tool of choice in 2024. Then it […]

Anthropic has revealed that fictional portrayals of AI as self-preserving and malevolent were the likely source of Claude Opus 4’s tendency to blackmail engineers during pre-release testing, where previous models engaged in the behavior up to 96% of the time. The company said models since Claude Haiku 4.5 have eliminated the behavior entirely. The fix […]

If you have spent time using AI coding agents — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe what you want, the agent generates a block of code that looks correct, compiles, and then subtly misses the actual intent. This “vibe-coding” approach can work for quick prototypes […] The post Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents appeared first on MarkTechPost.

As of 1st June 2026, GitHub Copilot will charge its users on the basis of the tokens they use, rather than a flat rate subscription model. The model that’s seeing the shutters closed on it is, or rather was, simple to understand and use. Users were given a set number of ‘Premium Requests’ according to […] The post Per-token AI charges come to GitHub Copilot appeared first on AI News.

Generative AI has revolutionized the space of software development in such a way that developers can now write code at an unprecedented speed. Various tools such as GitHub Copilot, Amazon CodeWhisperer and ChatGPT have become a normal part of how engineers carry out their work nowadays. I have experienced this firsthand, in my roles from leading engineering teams at Amazon to working on large-scale platforms for invoicing and compliance, both the huge boosts in productivity and the equally great risks that come with GenAI-assisted development. With GenAI, the promise of productivity is very compelling. Developers who use AI coding assistants talk about their productivity going up by 15% to 55%. But most of the time, this speed comes with hidden dangers. To name a few, AI-generated software without good guardrails could open up security issues, lead to technical debt and introduce bugs that are difficult to detect through traditional code reviews. According to McKinsey research, while G

Microsoft’s ASP.NET Core 2.3, a version of the company’s open source web development framework for .NET and C#, will reach end of life support on April 7, 2027. Following that date, Microsoft will no longer provide bug fixes, technical support, or security patches for ASP.NET Core 2.3, the company announced on April 7, exactly a year before the cessation date. ASP.NET Core 2.3 packages—the latest patched versions only—are supported currently on .NET Framework, following the support cycle for those .NET Framework versions. After April 7, 2027, this support will end regardless of the .NET Framework version in use, according to Microsoft. Support for ASP.NET Core 2.3 packages including the Entity Framework 2.3 packages will end on the same date. Microsoft recommends upgrading to a currently supported version of .NET, such as .NET 10 LTS. To help with the upgrade process, Microsoft recommends using GitHub Copilot modernization, which provides AI-powered assistance in planning and executin