Best AI Coding Agents for Scala
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Compare the Top AI Coding Agents that integrate with Scala as of December 2025
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This a list of AI Coding Agents that integrate with Scala. Use the filters on the left to add additional filters for products that have integrations with Scala. View the products that work with Scala in the table below.
What are AI Coding Agents for Scala?
AI coding agents are software tools powered by artificial intelligence designed to assist or fully automate the process of writing, reviewing, and optimizing code. These tools can generate code snippets, suggest improvements, debug errors, and even refactor entire codebases based on user input or project requirements. By leveraging machine learning and natural language processing, AI coding agents can understand and interpret programming languages, offering context-aware code suggestions that speed up development and reduce errors. They often integrate with popular Integrated Development Environments (IDEs) or version control systems, making them a seamless part of the developer's workflow. AI coding agents are especially useful in boosting productivity, assisting with repetitive tasks, and providing coding solutions for developers at all skill levels. Compare and read user reviews of the best AI Coding Agents for Scala currently available using the table below. This list is updated regularly.
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1
Gemini Code Assist
Google
Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection. Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.Starting Price: Free -
2
Goose
Block
Goose (also known as codename goose) is an open-source, on-machine AI agent designed to automate engineering tasks directly within your terminal or integrated development environment (IDE). Operating locally, it efficiently executes tasks such as code generation, debugging, and deployment, allowing developers to focus on higher-level problem-solving. Goose's extensible architecture enables customization with preferred large language models (LLMs) and integration with external APIs, enhancing its capabilities to suit diverse project requirements. By autonomously handling complex tasks, Goose streamlines the development process, increasing productivity and reducing manual effort. Developers have praised Goose for its ability to manage tasks like updating dependencies, running tests, and automating code migrations, highlighting its effectiveness in real-world applications.Starting Price: Free -
3
GPT-4.1
OpenAI
GPT-4.1 is an advanced AI model from OpenAI, designed to enhance performance across key tasks such as coding, instruction following, and long-context comprehension. With a large context window of up to 1 million tokens, GPT-4.1 can process and understand extensive datasets, making it ideal for tasks like software development, document analysis, and AI agent workflows. Available through the API, GPT-4.1 offers significant improvements over previous models, excelling at real-world applications where efficiency and accuracy are crucial.Starting Price: $2 per 1M tokens (input) -
4
Ona
Ona
Ona, formerly Gitpod, is a modern development platform that provides mission control for software projects and engineering agents. It allows developers to keep momentum on any device by offering sandboxed, API-first environments in the cloud or within a company’s VPC. These environments come pre-configured with tools, dependencies, and controls, ensuring a consistent and secure setup for professional software engineering. Ona Agents further enhance productivity by assisting with tasks like scoping, writing, reviewing, and documenting code across the entire development lifecycle. Enterprise-ready guardrails deliver fine-grained permissions, policies, and audit trails, giving organizations full control over compliance and security. Trusted by millions of developers and Fortune 500 companies, Ona integrates seamlessly with tools like GitHub, GitLab, AWS, Copilot, and Amazon Bedrock.Starting Price: $20/month -
5
Kiro
Amazon Web Services
Kiro is an AI‑powered integrated development environment that brings structure to AI‑driven coding by converting natural‑language prompts into clear requirements, system designs, and discrete implementation tasks validated by robust tests. Built from the ground up for agentic workflows, it features spec‑driven development, multimodal chat, “agent hooks” that trigger background tasks on events like file saves, and an autopilot mode that autonomously runs large scripts while keeping you in control. With smart context management, Kiro reduces repetitive prompts and helps implement complex features across large codebases. Native MCP integrations let you connect to documentation, databases, and APIs, and you can guide development with images of UI designs or architecture diagrams. Enterprise‑grade security and privacy ensure safe deployment, while support for Claude Sonnet models, Open VSX plugins, and existing VS Code settings delivers a familiar yet AI‑supercharged experience.Starting Price: $19 per month -
6
GPT-5.1-Codex
OpenAI
GPT-5.1-Codex is a specialized version of the GPT-5.1 model built for software engineering and agentic coding workflows. It is optimized for both interactive development sessions and long-horizon, autonomous execution of complex engineering tasks, such as building projects from scratch, developing features, debugging, performing large-scale refactoring, and code review. It supports tool-use, integrates naturally with developer environments, and adapts reasoning effort dynamically, moving quickly on simple tasks while spending more time on deep ones. The model is described as producing cleaner and higher-quality code outputs compared to general models, with closer adherence to developer instructions and fewer hallucinations. GPT-5.1-Codex is available via the Responses API route (rather than a standard chat API) and comes in variants including “mini” for cost-sensitive usage and “max” for the highest capability.Starting Price: $1.25 per input -
7
GPT‑5-Codex
OpenAI
GPT-5-Codex is a version of GPT-5 further optimized for agentic coding within Codex, focusing on real-world software engineering tasks (building full projects from scratch, adding features & tests, debugging, large-scale refactors, and code reviews). Codex now moves faster, is more reliable, and works better in real-time across your development environments, whether in terminal/CLI, IDE extension, via the web, in GitHub, or even on mobile. GPT-5-Codex is the default model for cloud tasks and code review; developers can also opt to use it locally via Codex CLI or the IDE extension. It dynamically adjusts how much “reasoning time” it spends depending on task complexity; small, well-defined tasks are fast and snappy; more complex ones (refactors, large feature work) get more sustained effort. Code review is stronger; it catches critical bugs before shipping. -
8
GPT-5.1-Codex-Max
OpenAI
GPT-5.1-Codex-Max is the high-capability variant of the GPT-5.1-Codex series designed specifically for software engineering and agentic code workflows. It builds on the base GPT-5.1 architecture with a focus on long-horizon tasks such as full project generation, large-scale refactoring, and autonomous multi-step bug and test management. It introduces adaptive reasoning, meaning the system dynamically allocates more compute for complex problems and less for simpler ones, to improve efficiency and output quality. It also supports tool use (IDE-integrated workflows, version control, CI/CD pipelines) and offers higher fidelity in code review, debugging, and agentic behavior than general-purpose models. Alongside Max, there are lighter variants such as Codex-Mini for cost-sensitive or scale use-cases. The GPT-5.1-Codex family is available in developer previews, including via integrations like GitHub Copilot.
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