Devv AI vs New API
Side-by-side comparison · Updated October 2026
| Description | Devv AI is a specialized AI search engine designed to boost developer productivity by delivering quick and precise solutions to programming queries. Leveraging large language models (LLMs) and a curated index of developer-centric resources, it offers more relevant results compared to traditional search engines. With modes like Web, Chat, GitHub, and Expert, it supports tasks ranging from code refactoring to complex problem-solving. It also integrates with GitHub and other developer tools, making it a comprehensive solution for debugging, code completion, learning new technologies, and more. | New API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents. |
| Category | Developer Tool | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Freemium | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Use Cases |
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| Tags | AI search enginedeveloper productivityprogramming querieslarge language modelsdeveloper-centric resources | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Multiple Search Modes: Offers distinct search modes like Web, GitHub, Expert, and Chat Mode, each tailored for specific development use cases. | ||
| Programming Language Specificity: Allows specifying programming languages for tailored responses. | ||
| Integration with Popular Platforms: Connects with Stack Overflow, GitHub, and DevDocs. | ||
| Advanced AI Model Integration: Utilizes models like GPT-4 for comprehensive answers. | ||
| Personalized Search and History: Adapts and learns from user interactions. | ||
| Continuous Learning and Improvement: Enhances its responses based on user feedback. | ||
| Code Generation and Refactoring: Assists with code creation and improvement. | ||
| Image Analysis: Aids in code debugging and planning (though not currently available). | ||
| Goal-Based Agents: Provides AI support for specific tasks like debugging. | ||
| Planned VSCode Plugin: Offers integration for Visual Studio Code. | ||
| Self-hosted AI gateway and model management | ||
| Provider channels, token groups and model restrictions | ||
| OpenAI-compatible, Claude Messages and Gemini format support | ||
| Documented limits on protocol conversion | ||
| Weighted channel selection and failure retries | ||
| User-level model rate limiting | ||
| Request, usage and cache-hit cost accounting | ||
| Docker Compose deployment documentation | ||
| View Devv AI | View New API | |
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