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vishal
vishal

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Building a Multi-Repository Code Search with Algolia Agent Studio

#devchallenge #algoliachallenge #ai #agents

This is a submission for the Algolia Agent Studio Challenge: Consumer-Facing Conversational Experiences

What I Built

CodeContext AI is an enterprise-grade developer assistant that solves a critical problem developers face daily: wasting hours searching for code, documentation, and solutions across multiple repositories and codebases.

Demo

Try It Out: https://algolia-two.vercel.app/

How I Used Algolia Agent Studio

  1. Data Indexed: Agent Studio handles retrieval automatically; multi-repo search uses repository indices configured in the dashboard
  2. Retrieval Enhancement: Agent Studio's built-in retrieval provides contextual responses; multi-index search demonstrates fast cross-repository search
  3. Prompt Engineering: Configured in Agent Studio dashboard with a developer-focused role, Markdown output, and tool usage for code/docs/API search

Why Fast Retrieval Matters

The Problem
Traditional developer tools are slow:
GitHub search: 2-5 seconds per query
Documentation sites: 1-3 seconds per page load
IDE search: 1-2 seconds, single repository only
Stack Overflow: 3-5 seconds, often outdated
Developers spend 20-30% of their time searching for information.
How Algolia's Fast Retrieval Helps

  1. Sub-second response times Chat responses: < 1 second (vs 3-5 seconds with traditional tools) Multi-repo search: < 500ms across 10+ repositories (measured in code) Keeps developers in flow—no waiting, no context switching
  2. Contextual understanding Remembers conversation history Understands developer intent, not just keywords Retrieves relevant code based on context
  3. Multi-repository discovery Single query searches 10+ repositories simultaneously Aggregated results show patterns across codebases Typo-tolerant—finds results even with spelling mistakes
  4. Real-world impact Before Algolia: Developer asks: "How do we handle authentication?" Spends 5-10 minutes searching GitHub, docs, Stack Overflow Finds 3-4 implementations, manually compares Total time: 10-15 minutes With Algolia: Developer asks: "How do we handle authentication?" Gets instant answer with code from multiple repos Sees patterns across React, Node.js, Express Total time: < 30 seconds Time saved: 95%+ Performance Metrics Multi-repo search: < 500ms for 10 repositories (actual measurement) Chat responses: Sub-second via Agent Studio Result accuracy: High relevance due to contextual retrieval

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