Diana

Diana — Final Update: Shipped.
The last piece was getting Diana off localhost and into the world. The backend and AI service landed on Google Cloud Run, the database on Neon, the frontend on Vercel — three services, one product, all talking to each other in production.
It wasn’t without a fight. Both Groq models we’d been using were decommissioned the same week we deployed. Docker refused to generate the Prisma client without a database URL at build time. Cloud Run silently dropped env vars. The auth token expired mid-deploy. Each one got fixed, and by the end Diana was running live — memory extraction, context injection, session persistence, the full pipeline — on real infrastructure.
Diana is live at https://diana-six-theta.vercel.app
Progress: Backend → AI Service → Memory System → Context Injection → Authentication → Component Library → Application Screens → UI Integration → Live Data → Shipped.

The frontend foundation met the backend this week and everything clicked into place. Real data replaced the mocks — sessions create automatically on load, conversations persist across visits, and the chat pipeline is fully live end to end. The Memories screen went from a shell to a working dashboard, with filters, inline editing, and deletion all connected to the database. On the first real test, Diana loaded two memories — “User built Diana” and “User knows Express” — exactly what she was supposed to remember.
It wasn’t without a fight. CORS blocked the first login attempt because Express 5 was intercepting preflight requests before the middleware could run — downgraded to Express 4 and it resolved immediately. Sessions weren’t being created on the frontend so every chat request returned a 404. Messages rendered as empty bubbles until the controller response shape was corrected to return a full message object. Each one got fixed, and by the end of the week Diana was having real, memory-aware conversations through a UI that feels like something worth using.
Progress: Backend → AI Service → Memory System → Context Injection → Authentication → Component Library → Application Screens → UI Integration → Live Data

Diana — Screens Implementation: Frontend Structure Complete
All major screens are now created and connected with the component library.
The UI layer is complete — Login, Register, Chat Interface, Memory Dashboard, Profile, Settings, and supporting layouts are built using the reusable TypeScript components.
The Sidebar, Chat Experience, Authentication Flow, and Dashboard structure are now in place, giving Diana a complete application shell instead of isolated components.
Frontend progress:
Backend → AI Service → Memory System → Context Injection → Authentication → Component Library → Application Screens → UI Integration
The frontend foundation is complete. Next steps are connecting real data, API integration, state management, and refining the user experience.

Diana — UI Update: Components Complete
All 12 components are done — UI and layout. Button, Input, PasswordInput, Label, Spinner, Toast, Badge, MarkdownRenderer, CodeBlock, Sidebar, ChatInput, and ChatMessage.
The full component library is built, typed in TypeScript, and ready to compose into screens. Login is already live. Chat, Register, and Memory Dashboard are next.
The frontend is taking shape.
Progress: Backend → AI Service → Memory System → Context Injection → Login Page → Component Library → Screens

Diana — UI Update: Component Library
All core UI components are built and ready — Button, Input, PasswordInput, Label, Spinner, Toast, Badge, MarkdownRenderer, and CodeBlock.
The component library is the foundation every screen builds on. Nothing gets repeated, nothing gets inconsistent.
Next up: layout components and the first full screens.
Progress: Backend → AI Service → Memory System → Context Injection → Login Page → Component Library → Layout & Screens

First Week working on Diana Frontend.
So far I’ve managed to create the login page other pages are coming soon.
#frontend

Diana — Week 6 Update
This week Diana became self-aware.
Context injection is now fully operational. Before every response, Diana fetches the user’s most important memories from the database and injects them into her system prompt. She now knows who she is, what the user is building, and what they care about — before a single word is typed.
The proof: ask her “What am I currently building?” with no context in the message. She responds: “You’re currently building me, Diana, a memory-aware AI assistant designed specifically for software developers.”
The core pipeline is complete.
Progress:
Backend ✅ → Sessions & Messages ✅ → FastAPI Service ✅ → LLM Integration ✅ → Memory Extraction ✅ → Context Injection ✅ → React Frontend (next)

Diana — Week 5 Update
This week Diana got her memory.
Built out the full memory extraction pipeline — after every conversation, Diana automatically analyzes what was said and extracts structured long-term facts about the user, storing them as typed memory objects with importance scores in the database.
Four memory types are now being captured in production: projects, skills, goals, and facts — exactly as designed.
Progress:
Backend ✅ → Sessions & Messages ✅ → FastAPI Service ✅ → LLM Integration ✅ → Memory Extraction ✅ → Context Injection (next)

Diana — Week 4 Update
This week Diana got her voice.
Replaced the hardcoded FastAPI stub with a real Groq LLM call using LLaMA 3.3-70b.
Added a system prompt defining Diana’s identity and wired in conversation history so the model has context within a session.
The full pipe is now live — a message sent from Express travels to FastAPI, hits Groq, and returns a real AI response.
Progress:
Backend ✅ → Sessions & Messages ✅ → FastAPI Service ✅ → OpenAI Integration ✅ → Memory Extraction (next)

Week 3 Progress – Diana
Set up the initial FastAPI backend for the Diana project.
Organized the project into a clean and scalable folder structure.Defined the core application entry point and server configuration.
Established a foundation for future API route expansion.
Created the /generate-response endpoint as a functional stub.
Added request and response placeholders for response generation.
Created the /extract-memory endpoint as a functional stub.
Added placeholder logic for future memory extraction workflows.
Verified route registration and successful application startup.
Prepared the backend architecture for Week 4 feature implementation.

Diana: Week 2 Update

This week focused on the session and messaging layer of Diana’s backend.

Built out full session management — creating chat sessions, listing them, and retrieving conversation history — along with the core chat endpoint that stores both user and assistant messages.

Every endpoint is now scoped to the authenticated user, ensuring one user’s data can never be accessed by another.

With this in place, the foundation is ready for Week 3: standing up the FastAPI AI service and connecting it to the backend.

Progress: Backend Foundation ✅ → Session & Message System ✅ → AI Service Setup (next)

Project Diana — Weekly Dev Log

This week focused on building the backend foundation:

POST /api/auth/register implemented
POST /api/auth/login returns JWT tokens
JWT middleware added to protect private routes
Prisma schema migrated successfully to the database
All API routes created and returning 200 OK stubs

Next: Replace stubs with real business logic and begin integrating Diana’s AI-agent workflows.

Initiated Project Diana which is a memory-aware AI assistant for developers that stores important information from previous conversations and uses it to provide contextual responses across sessions.
I currently have been setting up my code-space like configuring Prisma so far.