BrowsingCode

AI coding agents need to stop guessing and start searching for accurate code context

BrowsingCode allows you to search over the latest version of popular libraries, retrieving the exact functions, classes, and documentation the LLM needs. Select or request your favorite library, ask a question, and get precise answers with direct references to the relevant code.

01 — Try it yourself
Back end developerFastAPI

"Where do I add a middleware function to intercept requests?"

Try this
Front End DeveloperNext.js

"How are incoming HTTP requests being handled?"

Try this
AI engineerLangChain

"How to use a reranker?"

Try this
data scientistMLflow

"How does MLflow log a sklearn model?"

Try this
02 — The Method

BrowsingCode uses a three-stage pipeline to transform raw codebases into searchable context.

Stage 01Index
  • Scan repository
  • Parse AST trees
  • Extract code declarations
  • Embed metadata tags
Stage 02Search
  • Enrich query
  • Search code and documentation
  • Rerank retrieved objects
  • Append source url's
Stage 03Augment
  • Append relevant code
  • Append relevant documentation
  • Generate answer
WeeklyIndex refresh cycle
~5sAverage search time
~5k tokensAverage context tokens
03 — Interactive Code Retriever

Try the code retriever below. Select or request your favorite library. Enter a question to gather relevant files, and get grounded answers back.

04 — Product Demo

Watch this demonstration to see BrowsingCode in action. Learn how to gather context, analyze retrieved code files and request new libraries.

Learn to build precise context snapshots for your agent. See how BrowsingCode gathers, scores, and packages relevant code files within your token budget.

05 — Design Philosophy
01
Context over guessing

LLMs can guess code solutions, but they rarely hit the mark. Give them highly specific code context, and watch them deliver answers that are accurate, detailed, and ready to use.

02
Adaptation at inference time

Code bases are constantly changing. Instead of relying on pre-training, rely on up-to-date code context to obtain the right answer.

03
Learning over applying

Instead of following the answers right away, references can be used to learn more about the library and easily get you familiar with the best practices for that specific library.

04
Single source of truth

LLM's memorize code and docs from various sources like websites, forums etc. These can be inaccurate or outdated and hence we rely solely on context from the head branch of the repository.

06 — Contact

Questions about BrowsingCode? Want to discuss integration or contribute to the project?

→ LinkedInor reach us at [email protected]