Sourcegraph Cody vs Findly

Sourcegraph Cody or Findly? A Comprehensive Review

Sourcegraph Cody

Sourcegraph Cody

Code assistant aiding coding queries & suggestions.

Findly

Findly

Easy-to-use chatbot for data insights in plain English.

Overview

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 Findly, the simple yet powerful chatbot for data analysis. Utilizing AI technology, this chatbot makes it easy for anyone to access accurate and actionable data insights in

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Pricing Options

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

Features

Total Features

Features
Features

Unique Features

No features

No features

Pricing

Pricing Option

      Starting From

      • Not Available
      • Not Available

      Other Details

      Customer Types

      • No customer type information available
      • No customer type information available

      User Reviews

      User Ratings

      No Reviews

      No Reviews

      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

      • Easy-to-use chatbot

      • Generates actionable data insights

      • No SQL or Python knowledge required

      • Uses natural language processing

      • Reduces Time To Insight (TTI)

      • Eliminates reliance on data professionals

      • Simplifies onboarding process

      • Saves software engineering time

      • Allows questions on Slack

      • Compatible with all SQL databases

      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

      • Lacks APIs integration

      • Limited to SQL databases

      • Only works on Slack

      • No Python interpretation support

      • Possibly long chatbot response times

      • User-specific data interpretation issues

      • Lacks multi-platform support

      • No direct databank integration

      • Dependent on English proficiency

      • Limited onboarding efficiency improvements

      Media and Screenshots

      Screenshots

      Sourcegraph Cody
      Findly

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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 Findly offers a free trial.

      Pricing details for both Sourcegraph Cody and Findly 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

      Findly offers several advantages, including Easy-to-use chatbot, Generates actionable data insights, No SQL or Python knowledge required, Uses natural language processing, Reduces Time To Insight (TTI) and many more functionalities.

      The cons of Findly may include a Lacks APIs integration, Limited to SQL databases, Only works on Slack, No Python interpretation support. and Limited onboarding efficiency improvements

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