🤖 ASSISTENTE.DEV - Your Coding Companion

🔗 QUICK LINKS: APP Demo 🆕 | Website | Nuget

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🐳 DOCKER IMAGES: UI | API | WORKER | DB UPGRADER | PLAYGROUND

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Struggling to keep track of all your dev notes, bookmarks, and useful code snippets scattered across different platforms? Frustrated by the time wasted searching for that crucial information or starting from scratch? 🤔

Introducing assistente.dev – your ultimate assistant for developers. It's your personal memory bank, effortlessly storing and retrieving everything you need, precisely when you need it. Whether it's code snippets, course notes, or example solutions, Assistende has you covered. 🦾

Simply paste your query and watch as assistente.dev draws from your notes, bookmarks, and code bases to provide the perfect solution. With assistente.dev, say goodbye to wasted time and hello to seamless development. Get started and unlock your productivity potential! 🚀

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Answer generation flow:

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Video Explainer

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Roadmap

Phases:

• ✅ I phase (POC) - console app for test purpose Playground: QUICK LINK
• ✅ II phase - UI in Blazor
• ✅ III phase - Request limitation (throttling) + publish application on VPS - URL
• 🔳 IV phase - Improve prompts and logic to generate the most accurate answers

Loading user data

TODO:

• ✅ Loading and parsing *.md files - knowledge base
• ✅ Loading and parsing *.cs files - code base
• ✅ Find open source solution for creating embeddins
  • ✅ Done partially (currently in use OpenAI embedding service)
  • 🔳 NICE TO HAVE Integrate LLamaSharp for embeding creation
• ✅ Integration with Qdrant - saving embeddings

Generating results

• ✅ Generating prompt based on the 'knowledge base' & 'code base'
  • ✅ Generate prompt based on 'knowledge base'
  • ✅ Generate prompt based on 'code base'
• ✅ Integration with the OpenAI API
• ✅ Add usage of MediatR and prepare Command & Queries libraries
• ✅ Generating answers or ready code (in console app) - depending on what the user needs
• ✅ Add UI in Blazor
  • ✅ Upload sample notes and code from DEV_ASSISTENTE repository for demo purpose
  • ✅ Generating answers asynchronously (RabbitMQ + SignalR)
  • ✅ Display resources list
  • ✅ Display asked questions with answers list
• ✅ Switch from MSSQL to PostgreSQL
• ✅ Configure VPS to host all environment
• ✅ Add support for separated scenario for CODE generation
  • ✅ Add table QuestionFiles to save information about select files based on question

Common tasks

• ✅ Prepare configuration section in Readme
• ✅ Prepare quick start section in Readme
• ✅ Prepare video explainer with simply demo
• ✅ Add HealthChecks for API & Worker

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Configuration

1. Fill out the settings file appsettings.json - QUICK LINK

   • OpenAI_ApiKey - <API_KEY>

2. Fill out the .env file - QUICK LINK

   • OpenAI_ApiKey - <API_KEY>

Quick start

Prerequisites: Docker

1. Fill out the settings file (appsettings.json) and (.env) from CONFIGURATION section

2. Run start-enviroment.ps1 script with parameters:

   • Firstly with -s - to start required services
   • Secondly with -d - to upgrade and migrate database
   • Thirdly with -a - to start assistente application
   • Fourthly with -p - to learn assistente

3. Voila! Currently you can go to https://localhost:1008

Services

Service	Port	Information	Metrics URL
PostreSQL	1000	Database	-
PgAdmin	1001	Database UI	-
Qdrant	1002	API & UI (dashboard)	/metrics
Qdrant	1003	Search Engine	-
RabbitMq	1004	AMPQ Connection	-
RabbitMq	1005	RabbitMq UI	-
RabbitMq	1013	RabbitMq Metrics	/metrics
Seq	1006	UI	-
Seq	1007	Logs API	-
Blazor UI	1008	Assistente UI	-
Internal API	1009	Assistente API	/metrics
Worker	1010	Assistente worker	/metrics
Jaeger	1011	OpenTelemetry Collector	-
Jaeger	1012	UI	-
Jaeger	1014	API	/metrics