devgpt
DevKit combines multiple LLMs and browser-based developer tools for software engineers. Developers can use it to test public APIs, query PostgreSQL databases, and generate and execute code.
One of 148 tools in Developer Tools
Who it's for
- Software engineers who want an AI chat interface alongside browser-based coding utilities.
- Developers testing public APIs who want an API client and configuration generation in one browser-based toolkit.
- Developers querying PostgreSQL data who want to generate SQL and plot results from plain-English requests.
Not the right fit if…
- Teams needing MySQL or SQL Server database queries today: the page says support for both is coming soon.
How it fits your workflow
Open DevKit in a browser and use its chat interface to ask for code or a developer task. The page says code can be generated and executed within the chat interface before being brought into a codebase.
Alternatively, choose a mini-tool such as the API client or database client. The page describes testing public APIs and querying PostgreSQL in plain English, with generated SQL and plotted results.
Pricing
The vendor doesn't publish prices. Check with devgpt directly.
Prices checked on Oct 12, 2026 from the vendor's site. They can change; confirm before you buy.
Key features
- AI assistant with multiple LLMs
- Provides access to more than five LLMs in a developer-focused chat interface. The page names OpenAI, Gemini, and Llama models powered by Groq.
- Public API testing
- Generates configurations for public APIs and provides an API client for testing them in the browser. The page says hundreds of public APIs are supported.
- Natural-language database queries
- Lets users query PostgreSQL databases in plain English, generate SQL, and plot results.
- Code generation and execution
- Generates and executes code within the chat interface, with support for dozens of programming languages.
- Developer editors and utilities
- Offers seven editors and more than ten utilities for tasks such as testing snippets, writing documentation, and transforming data.
- Creative coding tools
- Includes code-generation and p5.js tools for creating interactive art and mini games, with options to capture screenshots and recordings.
Works with
- OpenAI models
- Gemini models
- Llama models via Groq
- PostgreSQL
Limitations to know
- The page says MySQL and SQL Server support for database queries is coming soon, so it does not present them as currently supported.
Alternatives to consider
-
CodeGPT
Choose it if you want an AI coding assistant as an IDE extension and need to use your own API keys and models.
-
GPTConsole
Choose it if your main need is to create, share, and monetize autonomous AI agents using an SDK, API, or CLI.
Getting started
- Visit the DevKit website and select Get Started.
- Choose the chat interface or a mini-tool for the task.
- Use the selected tool to generate or execute code, test a public API, or query a PostgreSQL database.
Frequently asked questions
Why use DevKit?
The page says DevKit brings together access to 5+ LLMs and 30+ mini-tools to support software development tasks and reduce the need to subscribe to multiple developer tools.
Why use a range of models instead of only OpenAI models?
The page says different models excel at different tasks. It gives Gemini as an option for queries needing more context and Llama models powered by Groq as an option for fast results.
Is DevKit just another chatbot?
The page says it combines developer-focused LLM use with automatic code previews and more than 30 mini-tools.
How are DevKit's mini-tools different from DevUtils?
The page describes DevUtils as a macOS-only app and says DevKit's common utilities can be accessed in a browser.
How are DevKit's mini-tools different from CyberChef?
The page says CyberChef uses a recipe model that it considers less intuitive for new users, while DevKit provides separate tools for common use cases.