What to build
A migration example that shows developers how to switch from AssemblyAI's SDK to Deepgram's SDK, with side-by-side code comparisons for common operations: batch transcription, streaming STT, speaker diarization, and audio intelligence features. Includes a working application that can run against either provider with a single config change.
Why this matters
Developers using AssemblyAI's Go, Java, C#, and Ruby SDKs lost official support when those SDKs were discontinued, and the remaining Python and JS SDKs now carry "testing and light usage only" warnings. These developers need a clear migration path. A side-by-side example that maps AssemblyAI API concepts to Deepgram equivalents reduces the evaluation barrier from hours to minutes. This is especially valuable for teams already using audio intelligence features (sentiment, entities, topics) who need to verify Deepgram supports their workflow.
Suggested scope
- Languages: Python and TypeScript (the two SDKs AssemblyAI still maintains)
- Deepgram APIs: Pre-recorded STT, Streaming STT, Audio Intelligence (sentiment, topics, entities, summarization)
- Components:
- Side-by-side code files:
assemblyai_original.py / deepgram_migrated.py for each operation
- Feature mapping table in README: AssemblyAI parameter → Deepgram equivalent
- Dual-provider application: single config flag to switch between providers for A/B comparison
- Migration guide section covering: auth setup, response shape differences, feature name differences
- Coverage of: batch transcription, real-time streaming, speaker diarization, sentiment analysis, entity detection, topic detection, summarization
- Complexity: Medium — two sets of parallel implementations + README mapping guide
Acceptance criteria
Raised by the DX intelligence system.
What to build
A migration example that shows developers how to switch from AssemblyAI's SDK to Deepgram's SDK, with side-by-side code comparisons for common operations: batch transcription, streaming STT, speaker diarization, and audio intelligence features. Includes a working application that can run against either provider with a single config change.
Why this matters
Developers using AssemblyAI's Go, Java, C#, and Ruby SDKs lost official support when those SDKs were discontinued, and the remaining Python and JS SDKs now carry "testing and light usage only" warnings. These developers need a clear migration path. A side-by-side example that maps AssemblyAI API concepts to Deepgram equivalents reduces the evaluation barrier from hours to minutes. This is especially valuable for teams already using audio intelligence features (sentiment, entities, topics) who need to verify Deepgram supports their workflow.
Suggested scope
assemblyai_original.py/deepgram_migrated.pyfor each operationAcceptance criteria
Raised by the DX intelligence system.