Imaginary Programming or Sourcegraph Cody? A Comprehensive Review

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

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

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

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