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Discover reviews on "flexpilot vs github copilot" based on Reddit discussions and experiences.

Last updated: December 5, 2024 at 08:33 PM
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Summary of Reddit Comments on "flexpilot vs Github Copilot"

Github Copilot

  • Users appreciate the autocompletion feature of Github Copilot but note its limitations in some languages and versions.
  • It offers direct integration with VS Code and shows potential in understanding workspaces.
  • Some users find it beneficial for smaller edits and boilerplate code.
  • Concerns are raised about privacy and token use with private keys being sent to servers.
  • There are mixed reviews about its accuracy, with some preferring other tools like ChatGPT or Claude for specific coding tasks.

Flexpilot (No specific mention of Flexpilot in the comments, not enough information to summarize)

Tabnine

  • Some users recommend Tabnine for code autocompletion.

SuperMaven

  • Users find SuperMaven fast and comparable to Github Copilot. Some prefer its autocomplete feature over Copilot.
  • It is noted to be effective even in the free version.

Tools/Solutions Recommended:

  • Codeium: Users appreciate its autocomplete and explanation of error messages.
  • Continue.dev: Users find it beneficial, especially after recent updates.
  • Cody by Sourcegraph: Considered great for coding assistance.
  • Tabby ML: Mentioned as a reliable tool.
  • Phind: Users recommend it as a cool and free tool.
  • Cursor: Praised for its powerful inline suggestions and ease of use.
  • Aider: Recommended for AI coding assistance.
  • Replit: Mentioned as a tool used by some users.
  • Twinny: Users mention it as a good local option, especially with llama3.
  • Claude by Sourcegraph: Noted to be cheaper but offers GPT 4.0 and other models.

Other Mentions:

  • Users discuss various AI coding tools and share their preferences based on functions and effectiveness.
  • Concerns are raised about the potential anti-competitive tactics of certain companies.
  • Terms like "Embrace, Extend, Extinguish" are referenced in the discussion thread.
  • Users share their experiences with different AI coding assistants, highlighting pros and cons.
  • Some extensions are recommended for specific use cases, like data analysis or refactoring.
  • The use of APIs and proprietary tools by certain companies is a point of contention among users.
  • Overall, users offer a diverse range of opinions and experiences with different AI coding tools.
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