15 Integrations with Shift-Left API
View a list of Shift-Left API integrations and software that integrates with Shift-Left API below. Compare the best Shift-Left API integrations as well as features, ratings, user reviews, and pricing of software that integrates with Shift-Left API. Here are the current Shift-Left API integrations in 2026:
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1
Bitbucket
Atlassian
Bitbucket is more than just Git code management. Bitbucket gives teams one place to plan projects, collaborate on code, test, and deploy. Free for small teams under 5 and priced to scale with Standard ($3/user/mo) or Premium ($6/user/mo) plans. Keep your projects organized by creating Bitbucket branches right from Jira issues or Trello cards. Build, test and deploy with integrated CI/CD. Benefit from configuration as code and fast feedback loops. Approve code review more efficiently with pull requests. Create a merge checklist with designated approvers and hold discussions right in the source code with inline comments. Bitbucket Pipelines with Deployments lets you build, test and deploy with integrated CI/CD. Benefit from configuration as code and fast feedback loops. Know your code is secure in the Cloud with IP whitelisting and required 2-step verification. Restrict access to certain users, and control their actions with branch permissions and merge checks for quality code.Starting Price: $15 per month -
2
OpenAI
OpenAI
OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with only a few examples or by specifying your task in English. One simple integration gives you access to our constantly-improving AI technology. Explore how you integrate with the API with these sample completions. -
3
Claude
Anthropic
Claude is a next-generation AI assistant developed by Anthropic to help individuals and teams solve complex problems with safety, accuracy, and reliability at its core. It is designed to support a wide range of tasks, including writing, editing, coding, data analysis, and research. Claude allows users to create and iterate on documents, websites, graphics, and code directly within chat using collaborative tools like Artifacts. The platform supports file uploads, image analysis, and data visualization to enhance productivity and understanding. Claude is available across web, iOS, and Android, making it accessible wherever work happens. With built-in web search and extended reasoning capabilities, Claude helps users find information and think through challenging problems more effectively. Anthropic emphasizes security, privacy, and responsible AI development to ensure Claude can be trusted in professional and personal workflows.Starting Price: Free -
4
Gemini
Google
Gemini is Google’s advanced AI assistant designed to help users think, create, learn, and complete tasks with a new level of intelligence. Powered by Google’s most capable models, including Gemini 3, it enables users to ask complex questions, generate content, analyze information, and explore ideas through natural conversation. Gemini can create images, videos, summaries, study plans, and first drafts while also providing feedback on uploaded files and written work. The platform is grounded in Google Search, allowing it to deliver accurate, up-to-date information and support deep follow-up questions. Gemini connects seamlessly with Google apps like Gmail, Docs, Calendar, Maps, YouTube, and Photos to help users complete tasks without switching tools. Features such as Gemini Live, Deep Research, and Gems enhance brainstorming, research, and personalized workflows. Available through flexible free and paid plans, Gemini supports everyday users, students, and professionals across devices.Starting Price: Free -
5
Cursor
Cursor
Cursor is an AI coding agent and development platform for building ambitious software faster. The platform lets developers hand off tasks to agents that can build, test, demo, and prepare features for review. Cursor supports autonomous and parallel agent workflows, including cloud agents that can work on multiple tasks across repositories. It runs across the editor, terminal, Slack, and GitHub, helping teams automate coding, code review, PR workflows, and repetitive engineering work. Cursor also lets users choose from leading AI models for different tasks, including models from OpenAI, Anthropic, Gemini, and Cursor. Built for developers, engineering teams, and enterprises, Cursor helps accelerate software development while keeping humans focused on decisions and review.Starting Price: $20/month -
6
Jenkins
Jenkins
The leading open source automation server, Jenkins provides hundreds of plugins to support building, deploying and automating any project. As an extensible automation server, Jenkins can be used as a simple CI server or turned into the continuous delivery hub for any project. Jenkins is a self-contained Java-based program, ready to run out-of-the-box, with packages for Windows, Linux, macOS and other Unix-like operating systems. Jenkins can be easily set up and configured via its web interface, which includes on-the-fly error checks and built-in help. With hundreds of plugins in the Update Center, Jenkins integrates with practically every tool in the continuous integration and continuous delivery toolchain. Jenkins can be extended via its plugin architecture, providing nearly infinite possibilities for what Jenkins can do. Jenkins can easily distribute work across multiple machines, helping drive builds, tests and deployments across multiple platforms faster. -
7
Model Context Protocol (MCP)
Anthropic
Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.Starting Price: Free -
8
Azure DevOps
Microsoft
Azure DevOps is a comprehensive set of modern development tools that help teams plan smarter, collaborate better, and deliver software faster. It provides services like Azure Boards for work tracking, Azure Pipelines for continuous integration and deployment, Azure Repos for Git-based source control, and Azure Test Plans for quality assurance. With built-in support for GitHub Copilot, developers can boost productivity by leveraging AI-assisted coding. The platform offers seamless integration with a variety of tools and supports any language, platform, or cloud environment. Azure DevOps emphasizes security with extensive compliance certifications and a dedicated engineering team. Trusted by leading global companies, it enables organizations to accelerate development cycles while maintaining high code quality and operational agility.Starting Price: $6 per user per month -
9
Anthropic
Anthropic
Anthropic is an AI research and technology company focused on building safe, reliable, and advanced artificial intelligence systems. It is best known for developing the Claude family of AI models, designed for reasoning, coding, and enterprise applications. The company emphasizes AI safety and alignment, ensuring that its systems behave predictably and responsibly. Anthropic’s models are used across industries for tasks such as content creation, analysis, and automation. It develops both consumer-facing tools and enterprise AI solutions through APIs and integrations. The company collaborates with major cloud providers to make its models widely accessible. Anthropic also invests heavily in research to improve AI transparency and controllability. Overall, it aims to create powerful AI systems that are both useful and trustworthy. -
10
CircleCI
CircleCI
Automate your development process with CI hosted in the cloud or on a private server. Take control of your code and manage every source of change. CircleCI means change validation, at every step. Trust that you can release updates right when your customers need them, with the certainty they’ll work every time. The power to create without limits. Code in every language and across multiple execution environments. If you can write it, we can build, test, and deploy it. With flexible environments and thousands of pre-built integrations, your pipelines never limit the possibility of what you can deliver. We’re the only CI/CD platform that’s FedRAMP certified and SOC 2 Type II compliant. Built-in features like audit logs, OpenID Connect, third-party secrets management, and LDAP give you complete control of your code.Starting Price: $50 per month -
11
Azure OpenAI Service
Microsoft
Apply advanced coding and language models to a variety of use cases. Leverage large-scale, generative AI models with deep understandings of language and code to enable new reasoning and comprehension capabilities for building cutting-edge applications. Apply these coding and language models to a variety of use cases, such as writing assistance, code generation, and reasoning over data. Detect and mitigate harmful use with built-in responsible AI and access enterprise-grade Azure security. Gain access to generative models that have been pretrained with trillions of words. Apply them to new scenarios including language, code, reasoning, inferencing, and comprehension. Customize generative models with labeled data for your specific scenario using a simple REST API. Fine-tune your model's hyperparameters to increase accuracy of outputs. Use the few-shot learning capability to provide the API with examples and achieve more relevant results.Starting Price: $0.0004 per 1000 tokens -
12
Ollama
Ollama
Ollama is an innovative platform that focuses on providing AI-powered tools and services, designed to make it easier for users to interact with and build AI-driven applications. Run AI models locally. By offering a range of solutions, including natural language processing models and customizable AI features, Ollama empowers developers, businesses, and organizations to integrate advanced machine learning technologies into their workflows. With an emphasis on usability and accessibility, Ollama strives to simplify the process of working with AI, making it an appealing option for those looking to harness the potential of artificial intelligence in their projects.Starting Price: Free -
13
LM Studio
LM Studio
Use models through the in-app Chat UI or an OpenAI-compatible local server. Minimum requirements: M1/M2/M3 Mac, or a Windows PC with a processor that supports AVX2. Linux is available in beta. One of the main reasons for using a local LLM is privacy, and LM Studio is designed for that. Your data remains private and local to your machine. You can use LLMs you load within LM Studio via an API server running on localhost. -
14
vLLM
vLLM
vLLM is a high-performance library designed to facilitate efficient inference and serving of Large Language Models (LLMs). Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-driven project with contributions from both academia and industry. It offers state-of-the-art serving throughput by efficiently managing attention key and value memory through its PagedAttention mechanism. It supports continuous batching of incoming requests and utilizes optimized CUDA kernels, including integration with FlashAttention and FlashInfer, to enhance model execution speed. Additionally, vLLM provides quantization support for GPTQ, AWQ, INT4, INT8, and FP8, as well as speculative decoding capabilities. Users benefit from seamless integration with popular Hugging Face models, support for various decoding algorithms such as parallel sampling and beam search, and compatibility with NVIDIA GPUs, AMD CPUs and GPUs, Intel CPUs, and more. -
15
GitHub Actions
GitHub
GitHub Actions is a powerful automation tool that enables developers to streamline their software workflows directly within GitHub. It allows teams to build, test, and deploy code automatically using CI/CD pipelines triggered by events such as code pushes or pull requests. With support for multiple programming languages and environments, developers can run workflows across Linux, macOS, and Windows. GitHub Actions also provides hosted and self-hosted runners for flexible execution. It simplifies repetitive tasks like code reviews, issue management, and deployment processes. With real-time logs and built-in secret management, it ensures transparency and security. Overall, GitHub Actions helps teams automate development processes and deliver software faster.
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