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Stash

Stash: AI-powered issue resolution assistant for developers. Find solutions in seconds, not hours.

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Introduction

Overview

Stash is an advanced Issue Resolution Assistant designed specifically for developers and AI agents. It aims to revolutionize the way development teams handle tickets and technical questions by providing instant access to all necessary context. Instead of spending valuable time digging through documentation, codebases, or interrupting colleagues, developers can leverage Stash to find solutions in seconds. This allows teams to focus on building and shipping features, rather than getting bogged down in the search for information.

What is Stash?

Stash acts as a central knowledge hub that connects directly to your development workflow. It intelligently analyzes incoming issues and questions, then surfaces the most relevant information from your existing knowledge base. This includes past tickets, documentation, code snippets, and even identifies the most knowledgeable team members to consult. By consolidating this information, Stash ensures that developers have the complete picture needed to resolve issues efficiently.

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Key Benefits

Save Time: Drastically reduce the time spent searching for information, allowing developers to focus on coding.
Faster Onboarding: New engineers can get up to speed quickly by having immediate access to relevant project context and solutions.
Improved Productivity: Minimize interruptions and context switching, leading to more focused and productive development cycles.
Enhanced AI Assistance: Powers AI agents like Cursor and GitHub Copilot with deep context, enabling smarter and more accurate responses.
Data Control: Offers both Cloud and On-Premise deployment options to meet your security and compliance needs.

Main Features

The platform offers several standout features:

Smart Search: Instantly finds relevant solutions and context for any ticket or question, eliminating knowledge silos.
Document Explorer: Surfaces wiki pages and documentation tailored to the specific issue at hand.
Issue Analyzer: Identifies and presents similar past issues to provide historical context and potential fixes.
Issue Localizer: Pinpoints the exact location within the codebase related to the current issue.
Expert Recommender: Suggests the most knowledgeable teammates to consult for specific problems.
Ecosystem Integrations: Seamlessly connects with essential development tools, including VS Code, JetBrains IDEs, and AI coding assistants.

Who Should Use It

Stash is ideal for:

Software Development Teams: To streamline issue resolution and improve overall productivity.
Engineering Managers: To reduce onboarding time and enhance team efficiency.
DevOps Engineers: To gain better visibility and traceability across the development lifecycle.
AI Development Teams: To empower AI agents with comprehensive contextual knowledge.

Stash is committed to security, evidenced by its SOC 2 Type II certification, and provides flexibility with cloud or on-premise solutions. Get started for free and transform your development workflow.

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Information

Websiteusestash.com
Published date2025/11/04

Frequently Asked Questions

Web App

Freemium

Product Information

Pricing Model

💎 Freemium

Supported Platforms

Web

VSCode Extension

JetBrains Plugin

Supported Languages

English

Key Features

🔍

Smart Search

Instantly analyzes tickets and questions to find relevant solutions and context from your knowledge base.

📄

Document Explorer

Provides developers with immediate access to relevant documentation and wiki pages tailored to specific issues.

💡

Issue Analyzer

Identifies and displays similar past issues to offer context and potential solutions for current problems.

📍

Issue Localizer

Pinpoints the exact location within the codebase that corresponds to a specific issue.

🧑‍🏫

Expert Recommender

Recommends the most knowledgeable teammates to consult for guidance on specific technical issues.

🔌

Ecosystem Integrations

Seamlessly integrates with development tools like VS Code, JetBrains, and AI assistants like Cursor and Copilot.

Pros & Cons

Pros

Significantly reduces time spent on issue resolution and information searching.
Enhances productivity by minimizing context switching and interruptions.
Facilitates faster onboarding for new developers with readily available context.
Supports AI agents by providing them with deep, contextual knowledge.
Offers flexible deployment options (Cloud/On-Premise) and strong security (SOC 2 Type II).

Cons

Limited information on specific pricing tiers beyond "free" for initial access.
The exact scope of "AI agents" it supports is not fully detailed.

Use Cases

1Quickly resolving bugs by finding similar past issues and code locations.
2Onboarding new developers by providing them with immediate project context and documentation.
3Empowering AI coding assistants with deep knowledge for more accurate code suggestions.
4Reducing interruptions by allowing developers to self-serve answers to technical questions.
5Improving traceability by linking code changes back to specific tickets and documentation.

Who Should Use This?

👤Software Developers
👤DevOps Engineers
👤Engineering Managers
👤AI Development Teams
👤Startup Founders

Stash