Sourcegraph Cody or Findly? A Comprehensive Review

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

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