Savvy
Capture, share, and run terminal workflows with AI assistance
What is Savvy? Complete Overview
Savvy is a developer productivity tool that helps teams capture, share, and run terminal workflows efficiently. It solves the problem of lost tribal knowledge by allowing developers to record and share their command-line workflows with teammates. The tool is particularly valuable for onboarding new hires, troubleshooting recurring issues, and documenting complex procedures. Savvy serves developers and engineering teams of all sizes, from individual contributors to large enterprises. Its unique value proposition lies in the ability to leverage hindsight - capturing workflows after they've been executed successfully, rather than requiring upfront documentation.
Savvy Interface & Screenshots
Savvy Official screenshot of the tool interface
What Can Savvy Do? Key Features
Leverage Hindsight
Savvy allows you to capture workflows after you've successfully executed them, turning hard-won insights into shareable knowledge. This eliminates the need to remember to document procedures in advance.
Expand Aliases
Automatically expands shell aliases when creating workflows, ensuring your documented procedures will work on any machine regardless of individual developer configurations.
Instant First Draft
Uses LLMs to generate a first draft of documentation based on your raw commands, saving time on creating clear, understandable workflow documentation.
Run Locally
Provides step-by-step guidance when running workflows locally, eliminating manual copy-pasting of commands and reducing errors.
Redact Sensitive Data
Automatically identifies and redacts secrets, passwords, and keys before sharing workflows, maintaining security while enabling knowledge sharing.
Placeholders
Allows replacement of hardcoded values with customizable placeholders, making workflows more reusable across different contexts.
Secure by Design
All data is encrypted at rest and in transit. Savvy never captures command output and supports Bring Your Own LLM for compliance with company policies.
No Vendor Lock-In
Workflows can be exported to Markdown/MDX with one click, and data can be kept locally for offline use.
Best Savvy Use Cases & Applications
Speedrun Onboarding
New hires can access documented workflows for common tasks, reducing ramp-up time and frustration. Instead of interrupting senior developers, they can learn from previously captured solutions.
Resolve Outages Faster
During incidents, engineers can quickly access documented solutions to similar past problems, reducing mean time to resolution without context switching.
Democratize Tribal Knowledge
Critical knowledge that was previously locked in individual developers' heads becomes accessible to the entire team, preventing knowledge silos and bus factor risks.
Standardize Procedures
Teams can create and share standardized ways to handle common operations like rotating secrets, refunding customers, or troubleshooting dev environments.
How to Use Savvy: Step-by-Step Guide
Install Savvy CLI by running the provided command in your terminal: 'curl -fsSL https://install.getsavvy.so | sh'
After completing a successful operation in your terminal, use 'savvy record history' to capture the relevant commands.
Review the captured commands, redact any sensitive information, and use placeholders for variable values.
Optionally use the AI feature to generate a first draft of documentation explaining the workflow.
Save the workflow to your personal library or share it with your team through the Savvy workspace.
Teammates can then run the workflow locally with step-by-step guidance from Savvy.
Savvy Pros and Cons: Honest Review
Pros
Considerations
Is Savvy Worth It? FAQ & Reviews
No, Savvy only captures commands you explicitly choose to record. It doesn't continuously monitor or record your terminal activity without your consent.
Savvy doesn't automatically collect your shell history. You select which commands to capture and share, giving you full control over what gets recorded.
Savvy includes tools to redact sensitive information before sharing workflows. All data is encrypted at rest and in transit, and command outputs are never captured.
Savvy supports Bring Your Own LLM to comply with company policies. The specific models used can be configured based on your organization's requirements.
No, Savvy doesn't train models on your data. Your workflows remain private to you and your team unless you choose to share them.