Sourcegraph Cody vs Imaginary Programming - Which AI Code Assistant Software Platform Is Better in January 2026?

Sourcegraph Cody

Sourcegraph Cody

Code assistant aiding coding queries & suggestions.

Imaginary Programming

Imaginary Programming

Code generation using TypeScript and GPT runtime.

TL;DR - Quick Comparison Summary

Description

Meet Sourcegraph Cody, the ultimate code assistant for developers. This AI-powered tool leverages Sourcegraph's code graph and Large Language Models (LLMs) to provide seamless coding

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Introducing Imaginary Programming – a powerful SaaS tool that uses TypeScript and GPT runtime to automatically generate code. This innovative product leverages OpenAI's GPT engine to

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Pricing Options

  • No free trial
  • Not Available
  • No free trial
  • Not Available

What Do Sourcegraph Cody and Imaginary Programming Cost?

Pricing Option

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      Sourcegraph Cody User Reviews & Rating Comparison

      Pros of Sourcegraph Cody

      • Chatbot knows your code

      • Interactive code writing and refactoring

      • Generates unit tests and documentation

      • Assistive code suggestions

      • App for code local on device

      • VS Code and JetBrains extensions

      • Integrated with Sourcegraph enterprise instance

      • Chat interface in editor or sidebar

      • Feedback for response improvement

      • Generates code answering queries

      Pros of Imaginary Programming

      • TypeScript-based

      • No need for ML team

      • Generates structured data

      • JSON data output

      • Inclusion of Playground feature

      • Frontend developers can add intelligence

      • Solves new problems

      • Can define function prototype

      • Can classify data with human-like intelligence

      • Extracts structured data from unstructured language

      Cons of Sourcegraph Cody

      • Requires feedback for accuracy

      • Limited editor extensions

      • JetBrains extension is experimental

      • Limited to Sourcegraph enterprise

      • Requires full codebase access

      • Dependency on open-source data

      • Limited to pre-defined recipes

      • Depends on existing coding conventions

      • Context dependent fixup instructions

      • Relies on Sourcegraph's code graph

      Cons of Imaginary Programming

      • TypeScript only

      • Dependent on GPT availability

      • No offline usage

      • No predefined templates

      • Reliant on good comments

      • Lacks support for non-text tasks

      • Limited to specific JS frameworks

      • Not for backend development

      • Requires manual output structure definition

      • No mention of scalability

      Media and Screenshots

      Screenshots

      Sourcegraph Cody
      Imaginary Programming

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      Frequently Asked Questions (FAQs)

      Stuck on something? We're here to help with all the questions and answers in one place.

      Neither Sourcegraph Cody nor Imaginary Programming offers a free trial.

      Pricing details for both Sourcegraph Cody and Imaginary Programming are unavailable at this time. Contact the respective providers for more information.

      Sourcegraph Cody offers several advantages, including Chatbot knows your code, Interactive code writing and refactoring, Generates unit tests and documentation, Assistive code suggestions, App for code local on device and many more functionalities.

      The cons of Sourcegraph Cody may include a Requires feedback for accuracy, Limited editor extensions, JetBrains extension is experimental, Limited to Sourcegraph enterprise. and Relies on Sourcegraph's code graph

      Imaginary Programming offers several advantages, including TypeScript-based, No need for ML team, Generates structured data, JSON data output, Inclusion of Playground feature and many more functionalities.

      The cons of Imaginary Programming may include a TypeScript only, Dependent on GPT availability, No offline usage, No predefined templates. and No mention of scalability

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      Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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