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Sourcegraph Cody—AI-powered code assistant for developers
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Sourcegraph Cody
Coding
2,896
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AI-powered code assistant for developers
Most popular alternative: Programming Helper (856 saves)
By unverified author Claim this AI
Cody is an AI code assistant that is designed to help developers write code and find answers to their coding questions. It utilizes Sourcegraph's code graph and Large Language Models (LLMs) to provide assistance.
Cody has the ability to read through your entire codebase and other external resources like open-source code and StackOverflow questions to offer suggestions and answers based on prior knowledge.Some key features of Cody include:1.
Chatbot that knows your code: Cody can write code and answer questions related to your project's codebase, following your coding standards and architecture better than other AI chatbots.2.
Fixup code: Cody can interactively write and refactor code based on quick natural-language instructions provided by the developer.3. Recipes: Cody can generate unit tests, documentation, and more, considering the context of your entire codebase.4.
Experimental completions: Cody can provide suggestions as you code.Cody can be used in various ways, such as through the Cody app, as an editor extension for VS Code and JetBrains, or by connecting it to a Sourcegraph enterprise instance.
Developers can chat with Cody in the editor or the Sourcegraph sidebar to ask questions or provide fixup instructions. Cody will provide responses based on the code files it has read, and if it gives incorrect answers, feedback can be shared to help improve its accuracy.Overall, Cody aims to reduce toil and enhance developers' productivity by providing reliable code assistance and answering coding queries based on its extensive knowledge base.
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Releases
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March 23, 2023
Initial release of Sourcegraph Cody.
Pricing
Pricing model
Paid
Paid options from
$19
Billing frequency
One-time
Coding
2,896
No ratingsPrompts & Results
Add your own prompts and outputs to help others understand how to use this AI.
Sourcegraph Cody was manually vetted by our editorial team and was first featured on June 28th 2023.
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835,640635v1.6 released 15d agoFree + from $12/mo
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
28,799395v1.0 released 11mo agoFree + from $35/mo
This team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
Pros and Cons
Pros
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
Follows your coding standards
Uses your project's architecture
Considers codebase context
Translates natural-language instructions
Improves variable names
Translates code to different languages
Summarizes recent code changes
Detects code smells
Generates release notes
Enterprise and open source enabling
Troubleshooting guide available
Configurable code graph context
View 17 more pros
Cons
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
View 5 more cons
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Q&A
What is Sourcegraph Cody?
Sourcegraph Cody, referred to as Cody, is an AI code assistant designed to assist developers in their coding processes. It provides support in writing codes and answering coding queries by perusing the developers' code base and additional coding graph resources.
How does Cody utilize Sourcegraph's code graph and Large Language Models?
Cody utilizes Sourcegraph's code graph and Large Language Models (LLMs) to enhance its tasks of providing assistance for coding queries and suggesting modifications. The code graph informs it about the coding structure and interconnections, and the LLMs equip it with extensive linguistic understanding to analyze, understand, and communicate around coding contexts and terminologies.
What makes Cody different from other AI chatbots?
Cody differs from other AI chatbots as it has the capability to understand the codebase of your project. It understands and follows coding standards and architecture which sets it apart from other chatbots. Rather than operating based on generic programming principles, it takes a more personalized approach for each project.
How can Cody interactively write and refactor code?
Cody interacts with the code by understanding natural language instructions provided by the developer. It will then perform the required edits in response to the instructions. Examples of fixup responses include factoring out common helper functions, using imported CSS module's class names or extracting a list item to a separate React component.
Can Cody generate unit tests and documentation?
Yes, Cody can generate unit tests and documentation. This is done with full awareness of the entire codebase which enables contextually relevant and comprehensive outputs. Developers can select a particular code and ask Cody to generate unit tests or documentation based on the selected code.
What are experimental completions in Cody?
Experimental completions in Cody refers to the feature where Cody provides suggestions while the developer is still coding. This is possible due to Cody's ability to understand and interpret the code that is being written.
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