An AI-powered developer toolkit designed to accelerate the software development lifecycle with features for code generation, explanation, testing, and documentation across a wide range of languages and IDEs.
AskCodi is an AI-driven software development assistant that provides a suite of tools to help programmers code more efficiently. It serves a broad audience, from individual students to professional software teams, by simplifying complex coding tasks. The platform works by using large language models to generate code from natural language, explain existing code blocks, create documentation, and write unit tests. Its unique value lies in bundling these diverse functionalities into a single, accessible platform available as a web app and integrated directly into popular IDEs. This positions AskCodi as a comprehensive coding companion aimed at enhancing productivity throughout the entire development process.
Individual software developers, software engineering teams, data scientists, DevOps engineers, and computer science students working with various programming languages.
Based on 0 reviews
500k+ users
2021
Gujarat, India
Free
For individuals starting with AI. Includes 50 credits per month and access for 1 user.
Free
Premium
For individual developers and professionals. Includes 500 credits per month, access to all features, standard support, and usage for 1 user.
$9.99/mo
Ultimate
For power users requiring more capacity. Includes 2,000 credits per month, all features, priority support, and usage for 1 user.
$29.99/mo
Backed by Microsoft and OpenAI, it offers deeply integrated and often more context-aware code suggestions, making it a top choice for those primarily in the GitHub ecosystem.
Tabnine is a strong alternative that focuses on code privacy, offering self-hosting options for enterprises and using a model trained only on permissive open-source code.
A compelling option from AWS that is free for individual developers and includes a reference tracker to help identify when suggestions resemble open-source training data.
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