Sideko's code generation platform uses a hybrid approach, combining structured pattern matching with LLM assistance—read the full release here. This ensures a reliable foundation while allowing AI coding assistants to enhance SDKs without breaking them. The video demonstrates how to use this platform to solve a common problem: complex, multi-step customer workflows. Try if for yourself by getting started with a free trial of the platform: sideko.dev

• A Hybrid Approach: Unlike other tools that use templates, Sideko's platform uses structured pattern matching and then layers AI on top, ensuring that custom edits can be retained during code generations.

• Building Custom Workflows: The demo shows how an LLM can be prompted to create a complete customer workflow that chains together multiple API calls, eliminating the need to repeatedly explain the process to customers.

• Automatic Code Generation: The LLM automatically writes the code, documents it, and includes integration tests, all while adhering to the SDK's structure.

• Retaining Custom Edits: Sideko's unique technology allows the platform to retain custom, LLM-generated edits even when the base SDK is updated, which is crucial for maintaining a consistent and reliable codebase.

• Eliminating Inconsistencies: This hybrid approach ensures that the AI can extend the SDK while automatically matching style guidelines and generating tests, solving the problem of inconsistent code styles and missing documentation.