#go #api #backend #encore #framework #microservices

https://github.com/encoredev/encore

#javascript #nodejs #testing #express #microservices #database #rest #mocha #backend #jest #best_practices #integration_testing #message_queue #fastify #component_testing #nestjs

https://github.com/testjavascript/nodejs-integration-tests-best-practices

#typescript #architecture #backend #data_flow #database #design_tool #distributed_systems #microservices #microservices_architecture #scalability #server #system_design #visualization #web_development

https://github.com/honzaap/Systemizer

#kotlin #android #api #backend #coroutines #coroutines_android #dependency_injection #flow #hilt_android #jetpack_compose #ktor #mvvm_android #mvvm_architecture #navigation_architecture_component #rest_api #retrofit2 #testing #viewbinding

https://github.com/PatilShreyas/NotyKT

#other #backend_challenges #challenges #coding_challenges #interview_test #jobs

https://github.com/CollabCodeTech/backend-challenges

#go #authentication #backend #golang #realtime

https://github.com/pocketbase/pocketbase

#rust #backend_as_a_service #cloud_database #collaborative #database #database_as_a_service #developer_tools #devtools #distributed #distributed_database #document_database #graph_database #hacktoberfest #iot_database #nosql #realtime_database #serverless #sql #surreal #surrealdb #web

https://github.com/surrealdb/surrealdb

#swift #android #backend_driven_ui #divkit #ios #json #kotlin #server_driven_ui #typescript #web

https://github.com/divkit/divkit

#typescript #angular #backend #devops #frontend #fullstack

https://github.com/bdebon/choiceof.dev

#typescript #authentication #backend #backend_as_a_service #database #firebase #flutter #graphql #graphql_api #hasura #javascript #nextjs #nhost #postgres #react #serverless #serverless_functions #storage #vue

https://github.com/nhost/nhost

#typescript #agent #ai #anthropic #backend_as_a_service #chatbot #gemini #genai #gpt #gpt_4 #llama3 #llm #llmops #nextjs #openai #orchestration #python #rag #workflow #workflows

Dify is an open-source platform for developing AI applications, especially those using Large Language Models (LLMs). It offers a user-friendly interface to build and test AI workflows, integrate various LLMs, and manage models. Key features include a visual workflow builder, comprehensive model support (including GPT, Mistral, and more), a prompt IDE for crafting and testing prompts, RAG pipeline capabilities for document ingestion and retrieval, and agent capabilities with pre-built tools like Google Search and DALL·E.

Using Dify, you can quickly move from prototyping to production with features like observability to monitor application performance and backend-as-a-service for easy integration into your business logic. You can deploy Dify via their cloud service or self-host it in your environment. This makes it highly versatile and beneficial for developers looking to leverage AI efficiently in their projects.

https://github.com/langgenius/dify