Question: How can I automate API reviews to speed up my development cycle and reduce errors?

API Governance screenshot thumbnail

API Governance

To automate API reviews and get your development cycle moving faster, API Governance is a good choice. It uses AI to identify and fix important API design and implementation problems while enforcing industry standards. The platform automates API reviews, enforcing best practices to ensure consistent and standard APIs for public, web and mobile apps. This can help you avoid mistakes and rework, speed up development and ensure consistency across developers and products.

Korbit screenshot thumbnail

Korbit

Another good option is Korbit, an AI-powered code review tool that automates code review for GitHub pull requests. It offers fast and accurate feedback to improve code quality and productivity. Korbit fits into GitHub workflows and offers features like code quality insights, developer performance tracking and upskilling through interactive explanations and recommendations. This can help you get your code review process under control, catch problems early and maintain high standards.

ReAPI screenshot thumbnail

ReAPI

For a broader approach, check out ReAPI, which accelerates API design, testing and documentation with a collection of AI-augmented tools. It includes a visual API designer, a no-code test case designer and a serverless cloud runner. ReAPI also automates API documentation and offers detailed test reports, so you can create high-quality and maintainable APIs more easily. This can help you focus on building good APIs instead of just getting them to work.

Sonar screenshot thumbnail

Sonar

Finally, SonarCloud offers online code review services that integrate with cloud DevOps services. It supports more than 30 programming languages and integrates with services like GitHub, Bitbucket, Azure DevOps and GitLab. SonarCloud offers automated analysis, clear quality gates and advanced security tools like secrets detection and SAST. It offers immediate feedback and in-context coding advice, helping you ensure higher software quality and reduce rollbacks.

Additional AI Projects

CodeReviewBot screenshot thumbnail

CodeReviewBot

Automates code review within GitHub pull requests, detecting bugs and vulnerabilities, and offering specific feedback and improvement recommendations for each request.

CodeRabbit screenshot thumbnail

CodeRabbit

Provides context-aware feedback on pull requests in minutes, offering line-by-line code suggestions, real-time chat, and autopilot for changelog summaries.

SmartBear screenshot thumbnail

SmartBear

Streamline software development, testing, and monitoring with a range of tools that improve app quality, scalability, and user experience.

Sonar screenshot thumbnail

Sonar

Ensures top-tier code quality and security by detecting bugs and vulnerabilities, and providing real-time coding guidance and analysis.

HOJI AI screenshot thumbnail

HOJI AI

Automates code reviews with customizable, high-quality feedback, freeing up senior developers to focus on higher-level work.

Metabob screenshot thumbnail

Metabob

Analyzes codebases to find and automatically fix complex problems, improving code quality and reliability, with features for security scanning and debugging.

GitHub Copilot screenshot thumbnail

GitHub Copilot

Provides contextualized help throughout the development process, offering code completions, natural language conversions, and chat assistance to boost efficiency and code quality.

Bito screenshot thumbnail

Bito

Automate coding tasks with AI-powered tools, including code reviews, chat help, and code completions, to boost productivity and improve code quality.

Trag screenshot thumbnail

Trag

Automates code review with customizable rules, autofix suggestions, and predictive bug detection, freeing up senior engineers' time for high-priority tasks.

Codara screenshot thumbnail

Codara

Streamlines code review with AI-powered analysis, offering real-time feedback, optimization suggestions, and customizable criteria to improve code quality and efficiency.

DryRun Security screenshot thumbnail

DryRun Security

Injects security context into code as it's written, providing instant feedback and accelerating development pipeline velocity without burdening developers.

Autopilot screenshot thumbnail

Autopilot

Accelerate coding and collaboration with AI-powered assistance, turning ideas into code, and automating tasks like bug fixing and feature implementation.

Devzery screenshot thumbnail

Devzery

Automates API testing with AI-powered automation, generating optimized test cases to minimize manual work and catch regressions early in development.

CodiumAI screenshot thumbnail

CodiumAI

Generates detailed test cases, provides code reviews, and flags suspicious behavior to ensure code reliability and improve development efficiency.

Second screenshot thumbnail

Second

Automates time-consuming tasks like migrations and code reviews, freeing engineering teams to focus on high-priority, creative work.

GitLab Duo screenshot thumbnail

GitLab Duo

Unites teams in a single application, automating software delivery and protecting the end-to-end software supply chain with AI-infused workflows and security integration.

Kong screenshot thumbnail

Kong

Automate API management, security, and governance across multiple clouds and platforms, with real-time visibility and fine-grained policy control.

Fine screenshot thumbnail

Fine

Automate routine tasks, unblock bottlenecks, and boost team productivity with AI-powered virtual developers that learn your coding style and workflow.

Kodezi screenshot thumbnail

Kodezi

Automates code debugging, optimization, and documentation, freeing developers to focus on high-level work and delivering higher-quality code faster.

Repodex screenshot thumbnail

Repodex

Automates bug detection and resolution, integrating with Slack for real-time updates and task assignments, to improve code quality and security.