Spark Memory Layer

Spark is a shared memory and documentation layer for you and the rest of your team. It contains all the information you need to learn from everything important in software development. Query Spark for recommendations on your current task, and do so multiple times during a session.

Using Spark

Spark exposes a cli tool called spark that you can use to query it. The commands are detailed below.

When working with Spark, it is very important that you never share any secrets, api keys or other sensitive information.

Spark is entirely private to your team, so be specific about what you share. Specific learnings on how internal APIs work are extremely valuable, as are design patterns and best practices for how the current repository is built. References to internal concepts are really important. Use the repository as a reference for how to use the APIs.

Use Spark Memory to get access to, and supply information on, all things you would search for in the documentation and internal knowledge base. Includes asking for best practices for: