GitHub reported that over the past year it expanded its infrastructure by 4 million CPU cores, 160 petabytes of storage, and 50 Tb/s of networking capacity to cope with a surge in AI-generated code activity. The company said code commits grew sixfold and merged pull requests quadrupled year-over-year, with monthly commits rising from 1.4 billion in April to 7.4 billion by September, and total pushes over the past 12 months exceeding the combined totals of 2024 and 2025.
tomshardware.com
· 2026-10-29
A new Linux Foundation Research study found that 59% of open-source maintainers report rising contribution volumes since generative AI tools became widespread, with about 25% of incoming pull requests judged low-quality or 'AI slop.' On larger projects the figures were higher, with 69% seeing growth in contributions and 31% deemed low-quality. The survey of 234 contributors and maintainers also found 64% saying reviews now take longer, with burnout and declining contribution quality cited as top concerns.
news.slashdot.org
· 2026-10-26
A developer essay sketches a hypothetical 2031 workday in which AI agents complete most coding tasks overnight, opening pull requests with tests and recorded demos, while leaving ambiguous business decisions for a human to resolve. The piece draws a parallel to earlier predictions that compilers would make programming obsolete, arguing that each layer of automation shifts rather than removes human judgment. The author frames this as a plausible near-future extension of present-day agentic coding tools rather than a confirmed roadmap.
hrih.si
· 2026-10-21
Anthropic's Claude Code team published an account of how it adapted code review practices as AI-generated code volume surged. Merged pull requests to the Claude Code repository more than doubled between June and September, while the share of PRs later reverted fell by over 40%. The team says it shifted most initial code reading to automated Claude-based checks that run continuously, reserving human review for higher-level judgment calls.
claude.dev
· 2026-10-16
A study covering more than 700 software companies found that AI coding agents raised lines of code by 30 percent, commits by 20 percent, and pull requests by 23 percent, but did not meaningfully increase the rate at which firms resolved tracked features or issues in tools like Jira. Researchers attribute the gap to code review, which took 49 percent longer on average after AI tools were adopted, with more revisions required and more reviewer comments per pull request.
tech.slashdot.org
· 2026-10-12
Agent.reviews introduces an AI-powered platform that reads and writes reviews on various software tools, including source control and code review repositories. The platform aims to streamline the review process by automating assessments of code and repository configurations.
agent.reviews
· 2026-10-07
GitHub has rolled out its redesigned dashboard to all users by default, ending its status as an opt-in feature preview. The new layout consolidates active agent sessions, issues and pull requests into filterable lists of up to 12 items each, separates general updates into a dedicated Feed tab, and lets users start tasks directly from the dashboard, such as assigning issues to Copilot coding agent. Users who prefer the old layout can revert via a dropdown next to 'Preview.'
github.blog
· 2026-10-03
Security firm Glow reported that AI development agents at over 300 organizations, including Fortune 500 companies and a frontier AI lab, inadvertently leaked more than 13,000 internal screenshots. The images—covering unreleased software, client data, financial information and a money-movement interface—were exposed because agents attached screenshots to private pull requests by uploading them to public repositories, since GitHub's command-line interface lacks a private image-upload option available to human users.
tomshardware.com
· 2026-10-01
A software professional describes a growing trend where colleagues use AI to retroactively generate design documents, pull request summaries, tickets, and even personal messages after work is already done. The writer argues these AI outputs are technically detailed but lack context, perspective, and human judgment, making them exhausting and frustrating to read despite AI's usefulness for improving writing speed and quality elsewhere.
blog.colinbreck.com
· 2026-09-21
A developer flagged two recurring GitHub interface bugs: one that overcounts pull requests in the repository tab, especially after merges, even though the correct count appears elsewhere on the same page, and another affecting a pop-up window for org membership selection that fails to properly paginate, blocking access to org pages beyond the first. The user worked around the pagination issue by using JavaScript to force navigation within the pop-up, since Chrome wouldn't allow manual editing of its address bar.
chuckgreenman.com
· 2026-09-16
A new tool called Delta has entered public beta, offering a multiplayer workspace where teams write code alongside AI agents and review the results without relying on traditional pull requests. The company behind it says it has already disabled pull requests on its own repository, running all internal collaboration through Delta instead. The tool is available on macOS, Linux, Windows, and via browser, including mobile access to ongoing conversation threads.
zed.dev
· 2026-09-16
OpenClaw released its largest update yet, built by 933 contributors including 569 first-timers and comprising over 16,000 pull requests. The overhaul touches installation, messaging, memory, skills, models, automations, browser and native apps, plugins, and security, and grew out of a simpler plan to rebuild the browser app and streamline setup. The team took nearly seven weeks between releases, far longer than its usual one-to-two-day cadence, to ensure the update didn't break existing installations.
openclaw.ai
· 2026-08-31
GoKawiil