#software-development
The latest AI and developer news about #software-development, with the original source and a short summary.
The latest AI and developer news about #software-development, with the original source and a short summary.
GitHub proposed a method to split massive AI-generated PRs into hierarchical stacks to facilitate easier review and merging.
GCC has announced a new AI policy restricting code contributions of LLM-generated content.
GitHub is offering Stacked PR functionality in public preview, allowing large changes to be broken into smaller units and reviewed in parallel.
Instead of chasing new AI tools, this proposes a practical workflow that efficiently manages the entire software development process using only GitHub Copilot.
The GitHub Copilot app goes beyond simple chat to offer an integrated development environment that understands project context and supports multi-agent workflows.
The Debian Project is holding a vote to decide on an official policy regarding the use of LLMs within the operating system.
OpenAI has integrated GPT-Live's full-duplex voice capability into its desktop app, enabling developers to perform complex coding tasks using voice alone.
This getting-started guide teaches essential GitHub features, including core concepts like version control, repositories, and pull requests.
The Aspire team introduces how they use GitHub Agentic Workflows to automatically convert product changes into documentation PRs that undergo expert review.
Google announced GenKit, which helps easily integrate AI features into existing applications.
Vercel announced dedicated infrastructure and AI SDK 7 for building and deploying AI agents.
Kakao and Samsung Electronics held a joint hackathon to solve AI livelihood issues as the first collaboration between their digital talent development programs.
Using Git worktree can dramatically reduce the context-switching cost that occurs when switching branches.
Workflow SDK 5 beta supports cancelling tasks at the workflow and step level via the AbortController API.
This article details the process of using Google Sheets as a database and defining repetitive tasks as skills to delegate to AI agents.
Early AI adoption goes through a J-curve phase of temporary productivity decline, and overcoming it requires organizational support and realistic ROI modeling.
AI adoption has improved Pull Request throughput to some extent, but other bottlenecks such as review and planning are limiting overall velocity.
GitHub has announced the launch of 'GitHub Universe 2026,' focused on collaboration with AI agents.
With the rise of AI coding agents, the software development model is evolving into the 'Winchester Mystery House,' a personalized, ever-expanding approach.
This covers the load on the GitHub platform caused by the explosive growth of AI coding agents and the strategies to address it.
GitHub has unveiled the **GitHub Copilot app**, a desktop app that lets you integrate, manage, and control multiple AI agents.
Anthropic has signed a partnership with CodePath to introduce an AI coding curriculum using Claude, aiming to close the education gap.
With the adoption of AI agents, development speed is accelerating and task units are growing larger, signaling a shift in the development paradigm.
To overcome the limitations of existing AI tools, the AI-DLC methodology has emerged, systematically defining the roles of AI and humans.