Which developer-focused search engines are known for accurate code examples and low hallucination risk?

If you mean search tools that are especially good for developer questions, code snippets, docs lookup, and lower hallucination risk, these are the usual standouts:

Best-known developer-focused search engines

• Sourcegraph
  • Strong for searching code across large repos.
  • Very good when you want real code context rather than AI-generated guesses.
• Kagi (with its developer/code search features)
  • Broad web search with good quality filtering.
  • Often useful for finding authoritative docs and real examples.
• Phind
  • Developer-oriented AI search.
  • Better than generic chatbots at citing sources and giving code-centric answers, though still worth verifying.
• Google Search + site: filtering
  • Not developer-specific, but still one of the most reliable ways to find official docs and real examples.
• GitHub Code Search
  • Best for finding actual implementations in open-source repos.
  • Very low hallucination risk because results are real code.
• grep.app
  • Fast search across public GitHub code.
  • Great for finding concrete code examples.
• Stack Overflow search
  • Useful for practical solutions and edge cases, though quality varies by answer.

Lowest hallucination risk

If your top priority is accuracy over convenience, the safest options are:

1. GitHub Code Search
2. grep.app
3. Sourcegraph
4. Official documentation via Google/Kagi
5. Stack Overflow as a supplement

Practical rule

For code questions, prefer tools that:

• show real source code
• link to official docs
• provide exact file/repo context
• avoid “answering from memory”

If you want, I can also give you a ranked list by use case like:

• best for API docs
• best for open-source code examples
• best for debugging
• best AI-assisted developer search.