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What is livegrep?

Livegrep is a powerful tool that draws inspiration from Google Code Search, enabling users to conduct interactive regex searches across large source code repositories that may reach several gigabytes. To get started with livegrep, both the codesearch backend—responsible for indexing and searching—and the livegrep web interface must be initiated. Once you have built both components, you can launch the sample web interface to explore livegrep’s capabilities. The codesearch binary is essential as it reads the source code, keeps an index, and handles search requests effectively. Importantly, livegrep functions without maintaining state and relies entirely on its TCP connection to the codesearch backend. By default, codesearch creates an in-memory index for the repositories specified in its configuration, but it can also save the index to a file for persistent storage. This capability is particularly useful for managing indexes that surpass the available RAM and permits the reuse of index files in future sessions. As a result, this enhances both operational efficiency and resource management, especially when navigating large codebases. Furthermore, the combination of these features allows developers to streamline their search processes and improve productivity in their coding endeavors.

What is Cody?

Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored forenterprise teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.

Media

Media

Integrations Supported

Android Studio
C
C#
COBOL
Claude Haiku 3.5
Clojure
Code With Me
Emacs
Gemini
Go
Google Docs
GraphQL
Haskell
JetBrains Gateway
Neovim
Objective-C
OpenAI o1
Perl
PostgreSQL
Python

Integrations Supported

Android Studio
C
C#
COBOL
Claude Haiku 3.5
Clojure
Code With Me
Emacs
Gemini
Go
Google Docs
GraphQL
Haskell
JetBrains Gateway
Neovim
Objective-C
OpenAI o1
Perl
PostgreSQL
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$59
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

livegrep

Company Website

livegrep.com/about

Company Facts

Organization Name

Sourcegraph

Date Founded

2013

Company Location

United States

Company Website

sourcegraph.com/cody

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

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