Kite (Discontinued) vs BentoML
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Kite (Discontinued)
Former AI code completion assistant for editors like VS Code and PyCharm. The company ended development and support and published a farewell note.
Pricing Discontinued
Category coding
Difficulty Beginner
Type Web App
Status Active
BentoML
Open source toolkit and managed inference platform for packaging deploying and operating AI models and pipelines with clean Python APIs strong performance and clear operations.
Pricing Free (OSS) / By quote
Category coding
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in Kite (Discontinued)
code-completionhistorydiscontinuededitorspython
Shared
None
Only in BentoML
model-servingmlopsinferenceopen-sourcekubernetesgpu
Key Features
Kite (Discontinued)
- • Legacy editor plugins for popular IDEs during active years
- • Local context indexing to improve token suggestions
- • Early language model work for Python and more
- • Documentation lookups and API hinting in editor
- • Telemetry options and privacy settings historically
- • Official shutdown and end of support by the founder
BentoML
- • Python SDK for clean typed inference APIs
- • Package services into portable bentos
- • Optimized runners batching and streaming
- • Adapters for torch tf sklearn xgboost llms
- • Managed platform with autoscaling and metrics
- • Self host on Kubernetes or VMs
Use Cases
Kite (Discontinued)
- → Audit machines and remove old plugins to avoid confusion
- → Review legacy repos created during Kite usage periods
- → Educate teams on evolution toward modern copilots
- → Map migration to maintained assistants with security fixes
- → Discuss pricing and PMF lessons in internal tech talks
- → Document editor integration approaches that worked and failed
BentoML
- → Serve LLMs and embeddings with streaming endpoints
- → Deploy diffusion and vision models on GPUs
- → Convert notebooks to stable microservices fast
- → Run batch inference jobs alongside online APIs
- → Roll out variants and manage fleets with confidence
- → Add observability to latency errors and throughput
Perfect For
Kite (Discontinued)
engineering managers developer advocates and students studying the history of AI coding assistants and planning migrations to supported tools
BentoML
ML engineers platform teams and product developers who want code ownership predictable latency and strong observability for model serving
Capabilities
Kite (Discontinued)
Local Context Basic
Completion Engine Basic
Product Lessons Basic
Modern Copilots Basic
BentoML
Typed Services Intermediate
Runners and Batching Professional
Managed Platform Professional
CLI and GitOps Intermediate
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