GitHub Copilot CLI, Microsoft's command-line AI agent, can automate C++ dependency management and project setup, as demonstrated in a Pure Virtual C++ 2026 session where it built a CMake-based CLI app…
Microsoft is launching The Microsoft 365 Copilot Agent's Playbook, a four-part livestream series starting August 18, 2025, to help developers and technical teams build, extend, ground, and evaluate de…
Microsoft has released the Agent Framework Harness, a stable, batteries-included runtime for building agents in Python and .NET that provides loop, planning, memory, context management, approvals, and…
Building effective agent experience (AX) evaluations requires six structural components—representative prompts, accurate and unambiguous criteria, multiple runs, and clean and representative environme…
GitHub announced a free virtual training event, "Let's Learn GitHub Copilot App," scheduled for July 16, to teach developers and technical professionals how to use the new agent-driven development des…
A developer's agent evaluation results can vary across machines due to hidden environmental variables like operating system and shell, which influence the agent's command fluency, error recovery, and …
Public AI benchmarks like SWE-bench measure performance on popular open-source repositories but fail to predict how models will perform on proprietary codebases, team-specific conventions, and real-wo…
Microsoft announced the public preview of WSL containers at Build 2026, enabling developers to run Linux containers natively on Windows without third-party tools. The feature includes a new CLI (wslc.…
Microsoft released a setup LSP skill for the C++ language server plugin in Copilot CLI, enabling developers to generate compile_commands.json for CMake, MSBuild, and custom build systems. The skill si…
Microsoft found that AI coding agents ignore documentation tips because they form plans before reading. To redirect agents, developers must explicitly state that the agent's current plan will fail, no…
Microsoft is transforming its software development lifecycle into an agentic platform where AI agents collaborate across planning, coding, security, and operations. The company reports that 62% of its…
When AI coding agents encounter proprietary code unseen during training, they fall into a 'closest-match trap' by generating plausible but incorrect code based on similar public APIs. Baseline evaluat…
Microsoft released the Agent Framework, enabling developers to build custom agent harnesses with minimal code. The framework bundles function invocation, history persistence, planning, and web search …
A new analysis argues that claims about large language models having preferences, such as 'Claude prefers React,' are misleading because models lack preferences and instead reflect training data and c…
The carbon footprint of AI is projected to grow at a CAGR of nearly 44% through 2025, with computational costs doubling every few months. Training a single large NLP model can emit as much carbon as f…
Microsoft warns developers that overloading AI coding agents with redundant documentation wastes tokens and degrades performance. The company advises measuring baseline model knowledge first, then bui…
AI coding agent extensions can degrade performance when installed together due to token competition, vocabulary collisions, and guidance conflicts, even if each extension works well in isolation. Deve…
Microsoft's platform teams discovered that AI coding agents ignore new CLI tools and default to older, more documented predecessors due to training data gravity, even when explicitly instructed otherw…
AI agents using npx without specifying a version can inadvertently scaffold projects from outdated templates due to npm's engine compatibility resolution, which prioritizes older versions without engi…
Microsoft researchers warn that AI coding agent extensions may not improve code quality, urging developers to measure impact through controlled comparisons rather than relying on tool invocation as a …