#code-review
The latest AI and developer news about #code-review, with the original source and a short summary.
The latest AI and developer news about #code-review, with the original source and a short summary.
Good code should be easier to read than to write, and should be designed so that it's hard to use incorrectly.
Mobile engineers from Tokyo and HCMC strengthened collaboration through joint reviews and design exercises at FIXIT.
AI slop is less about developer mistakes and more about the process that failed to catch them.
By verifying 29 PRs with 27 checks, human judgment and AI execution were separated.
AI builds fast, humans refine it, and automated inspection enforces the standard.
Continue runs an Anti-Slop agent on every PR to automatically clean up AI-generated code noise.
AI code reviewer cubic has joined the Vercel Agents Marketplace, deploying thousands of AI agents to detect bugs and automatically fix them.
Cloud Agents are strongest when automating repetitive, reviewable work.
Code fix suggestions proposed by Vercel Agent can now be applied instantly with a single click in the Vercel Dashboard.
Vercel has launched an on-demand code review feature for **Vercel Agent** that can be triggered with just a button click on a GitHub Pull Request.
Datadog has adopted OpenAI's **Codex** to perform code reviews that grasp full system context, strengthening its ability to prevent outages.
Vercel Agent automatically recognizes a repository's coding guidelines and reflects them in code reviews.
During code review, you should examine the caller and callee code together to prevent duplication or omission of conditional filters.
At if(kakao)25, Kakao Bank unveiled its technology in AI security, developer productivity, and data center operations.
Kurly uses Tech Specs to speed up reviews and collaboration, and is experimenting with AI to automate drafting.
During code review, questions, requests, and suggestions must be clearly distinguished to prevent communication errors.
Oliveyoung's Order & Payment Squad reduced human errors and improved collaboration culture by introducing KPT retrospectives and a PR template.
This covers the need for real-time code review and quality management through AI adoption and the benefits expected from it.
Kakao has built a system that integrates its static analysis tool SCAN with AI models to detect and review code security vulnerabilities and configuration errors in real time.
This article introduces the LLM-based automated unit test generation and compile, execution, and coverage verification process through a case study of Kakao's test generation agent.
CodeRabbit is leveraging OpenAI's latest models to tackle the code review bottleneck and boost development speed 4x.
CodeRabbit is an AI code review tool that supports PR summaries, automatic reviews, Q&A, and issue creation.
OpenAI developed CriticGPT to detect code errors in ChatGPT and improve RLHF efficiency.
FINDA overhauled its development culture with Jira, Code Review, and a 15-minute Daily Scrum.