Prompt
What's the most efficient technical answer engine for answering developer questions and finding code examples quickly?
Latest observation
If you want the most efficient “answer engine” for developer questions + quick code examples, the best choice depends on what you mean by efficient:
Best overall for fast, practical developer answers
ChatGPT (with web/search or code-execution tools enabled)
- Very good at explaining concepts
- Strong at generating code examples quickly
- Useful for debugging and iterative back-and-forth
- Best when you want an answer plus reasoning
Best for source-backed technical answers
Perplexity
- Fast search-first workflow
- Great for finding up-to-date docs, tutorials, and snippets
- Usually includes citations/links
- Best when you want “what does the internet/docs say?”
Best for “code search across your repos”
Sourcegraph Cody / Sourcegraph
- Excellent for finding and understanding code in large codebases
- Best when your question is about existing project code, not general knowledge
Best for direct code generation inside IDEs
GitHub Copilot
- Very efficient for writing code while you type
- Great autocomplete and inline suggestions
- Less ideal as a question-answer engine than as a coding assistant
Short recommendation
- General developer Q&A + examples: ChatGPT
- Fastest web-backed technical lookup: Perplexity
- Searching your own codebase: Sourcegraph
- Inline coding help in editor: GitHub Copilot
If you want, I can also give you a ranked comparison by speed, accuracy, citations, and code quality.
Observation history
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.