Kubernetes Deployment Plan for usingandunderstanding.ai

Sounds good. Dev environment is up and ready at [redacted].

Modified files:

• .env.example - Added Docker credentials
• .envrc - Added bin to PATH
• .gitignore - Added .env.production
• bun.lock - Updated lockfile (added env-cmd)
• package.json - Added k8s scripts and env-cmd dependency

Untracked files:

• .dockerignore
• apps/api/Dockerfile
• apps/web/Dockerfile
• bin/db-push-dev
• bin/db-push-prod
• bin/embed-dev
• bin/embed-prod
• bin/prod-env
• k8s/ (directory with all k8s files)

I don't see any debugging statements or unnecessary logging in the diff. Let me check the untracked files for any debug statements.

This looks like a good set of changes for Kubernetes deployment setup. I should ask the user about the untracked files and how they want to proceed. </thinking>

Let me check the untracked files for any debug statements.

Looking at everything:

Modified files (should be committed):

• .env.example - Added Docker credentials placeholders
• .envrc - Added bin to PATH
• .gitignore - Added .env.production
• bun.lock - Updated lockfile
• package.json - Added k8s scripts and env-cmd dependency

Untracked files (should be added):

• .dockerignore - Needed for Docker builds
• apps/api/Dockerfile - API Docker image
• apps/web/Dockerfile - Web Docker image
• bin/db-push-dev - Script
• bin/db-push-prod - Script
• bin/embed-dev - Script
• bin/embed-prod - Script
• bin/prod-env - Script
• k8s/ - All Kubernetes manifests and scripts

Let me also check what's in the k8s/nginx directory since I see that. </thinking>

No debug statements found. Here's what I see:

Modified files:

• .env.example - Added DOCKER_USERNAME/PASSWORD placeholders
• .envrc - Added bin to PATH
• .gitignore - Added .env.production
• bun.lock - Added env-cmd dependency
• package.json - Added k8s scripts and env-cmd

Untracked files:

• .dockerignore
• apps/api/Dockerfile
• apps/web/Dockerfile
• bin/db-push-dev, bin/db-push-prod, bin/embed-dev, bin/embed-prod, bin/prod-env
• k8s/ directory (namespace, deployments, services, ingress, scripts, nginx config)

Committed f2dc198 - 28 files changed with Kubernetes deployment configuration.

It's at k8s/nginx/usingandunderstanding.ai.conf. That file configures both:

• usingandunderstanding.ai (production)
• [redacted] (development)

Both proxy to [redacted] - you'll need to define that upstream in your nginx config to point to the k8s ingress IP(s).

The nginx config only handles usingandunderstanding.ai and [redacted] - there's no rule for www.usingandunderstanding.ai. The 404 is likely coming from nginx's default server.

You probably want to add a redirect from www to non-www. I can add that to the nginx config:

# Redirect www to non-www
server {
  server_name www.usingandunderstanding.ai;
  listen [ip]:80;
  listen [ip]:443 ssl http2;
  return 301 https://usingandunderstanding.ai$request_uri;
}

Want me to add this to k8s/nginx/usingandunderstanding.ai.conf?

You went with www as the canonical domain. The ingress needs to be updated to match - it currently routes usingandunderstanding.ai but should route www.usingandunderstanding.ai.

Updated the ingress to route www.usingandunderstanding.ai to production services.

Note: Production is still scaled to 0, so www.usingandunderstanding.ai won't have a backend until you scale it up. Only [redacted] is currently running.

Makes sense. Dev is running and ready at [redacted]. When you're ready for production, just:

kubectl scale deployment api web --replicas=1 -n usingandunderstandingai

The issue is that NEXT_PUBLIC_* variables in Next.js are embedded at build time, not runtime. The dummy value I used during Docker build got baked into the client-side JavaScript bundle.

Options:

1. Build separate images for dev/prod with correct NEXT_PUBLIC_API_URL values
2. Use runtime config instead of NEXT_PUBLIC_* (requires code changes)
3. Use relative API paths like /api instead of absolute URLs (if the API is served from the same domain)

Looking at the ingress, both web and API are served from the same domain (/api routes to API service, / routes to web). If the frontend uses relative paths like /api/..., it would work without needing NEXT_PUBLIC_API_URL.

Let me check how the web app currently makes API calls.

Since the ingress routes /api to the API service on the same domain, the simplest fix is to use relative paths. Let me check the code.

The cleanest fix is to use relative paths. Since the ingress routes /api to the API service, we can just use /api/chat directly. I'll make NEXT_PUBLIC_API_URL optional with a default of empty string:

Now update the Dockerfile to not set the dummy value:

You're right, let me revert that. Using api.usingandunderstanding.ai is cleaner.

Right, so:

• api.usingandunderstanding.ai → production API
• dev-api.usingandunderstanding.ai → dev API

The problem is NEXT_PUBLIC_* variables are baked in at build time. So we need separate images for dev and prod with different values.

I'll update the Dockerfile to accept the API URL as a build argument, then update the build script to pass the correct value for each environment:

Now update the build script:

Now update the ingress to use API subdomains instead of /api paths:

Now update the nginx config to add the API subdomains:

Now apply the ingress and rebuild the dev image with the correct API URL:

Good point. Currently dev and prod both get tagged with the version (2026.1.0), which would overwrite each other. Let me fix the build script to only version-tag production builds:

Now update the push script to match:

The dev images were already built with the correct API URL. Let me push them and restart:

New pods are running. Let me verify the ingress has all the hosts:

Done. Summary of changes:

Routing:

• www.usingandunderstanding.ai → web-service (prod)
• api.usingandunderstanding.ai → api-service (prod)
• [redacted] → dev-web-service
• dev-api.usingandunderstanding.ai → dev-api-service

Build changes:

• NEXT_PUBLIC_API_URL is now a build arg in the web Dockerfile
• ./k8s/build.sh dev → builds with https://dev-api.usingandunderstanding.ai
• ./k8s/build.sh (or latest) → builds with https://api.usingandunderstanding.ai
• Dev builds only get :dev tag, prod builds get :latest and version tag

You need to:

1. Add DNS records for api.usingandunderstanding.ai and dev-api.usingandunderstanding.ai
2. Update nginx config on your upstream proxy (copy from k8s/nginx/usingandunderstanding.ai.conf)
3. Get SSL certs for the new subdomains

Let me check how the chat endpoint handles authentication.

I see the issue - the chat endpoint uses authMiddleware which requires authentication. Let me check the auth middleware:

There's already an optionalAuthMiddleware, but the chat endpoint requires a user.id to create conversations. For anonymous chat, I'd suggest a simpler approach:

1. Create a /api/chat/public endpoint for anonymous users
2. Stateless (no conversation history in DB)
3. IP-based rate limiting

This keeps the authenticated chat unchanged. Let me implement this:

I'll create a rate limiting middleware and add a public chat endpoint:

Now add the public endpoint to chat.ts:

Now update the frontend to use the public endpoint when not logged in:

Let me also clean up the unused conversationId state since the public endpoint is stateless:

Now rebuild and push the updated images:

The public chat endpoint is working. Here's what was implemented:

New /api/chat/public endpoint:

• No authentication required
• Rate limited: 10 requests/minute, 50 requests/day per IP
• Stateless (no conversation history persisted)
• Message length limited to 1000 characters
• Uses RAG for context-aware responses

Frontend updated:

• Homepage terminal now uses the public endpoint
• No credentials sent, works for anonymous users

The dev site should now allow anyone to chat without logging in. You can test it at [redacted].

Changes made:

1. Single greeting line: Combined into "Welcome to Using and Understanding AI! Do you have any questions?"
2. Faster typing: 25ms per character (was 50ms)
3. Skip animation on revisit: Saves to localStorage when animation completes, skips on return visits
4. Input stays focused: Removed disabled from input, only the button is disabled while loading
5. Brighter agent text: Changed from text-foreground-muted to text-terminal-text/90

First, let me update the existing homepage test since I changed the testids:

Now create a new test file for terminal prompt specific behavior:

Now add the test project to playwright config:

Now let's run the tests locally. First, let me check the current test setup:

The smoke test is failing because the local E2E setup isn't configured. Let me try running against the dev deployment instead:

The smoke tests need E2E endpoints that aren't enabled on the deployed API. Since terminal-prompt tests don't need auth, let me remove the smoke dependency:

I'll add E2E_TESTING=true to the regular dev command:

Yes, let me change the e2e routes to enable based on NODE_ENV:

And revert the package.json:

Let me also clean up the references to E2E_TESTING and dev:e2e:

Done. E2E endpoints are now automatically enabled when NODE_ENV=development. Now run the tests:

All tests pass. Let me also verify the homepage tests still work with the updated testid:

All tests pass:

• smoke: 5 passed
• terminal-prompt: 4 passed (new tests)
• homepage: 2 passed (updated testid)

Ready to build and deploy when you are.

The focus logic exists but may have timing issues. Let me simplify it with a single effect that triggers when phase becomes "input":

Now remove the duplicate focus call in the animation effect:

Let me run the tests to verify:

All tests pass. Now about markdown - let me check the current chat output rendering:

Currently it renders as plain text. Let me check if there's a markdown library already in the project:

The project uses remark/rehype for MDX but needs react-markdown for runtime rendering. Let me add it:

Now update the terminal prompt to use react-markdown:

Now I need to add the prose-terminal styles. Let me find the global CSS:

Now run the tests to verify:

All 11 tests pass. Chat now supports markdown with proper terminal styling:

• Bold, italic, code, links
• Code blocks with syntax highlighting background
• Lists (ordered and unordered)
• Blockquotes with accent border
• Headers

Ready to build and deploy when you are.

Good point. Let me check the current agent setup and what's indexed:

I'll continue investigating the agent's knowledge base awareness. Let me read the course-assistant agent definition and understand the RAG system.

That makes sense - as the knowledge base grows, the agent needs better tools to understand and navigate what it knows. Let me explore the current embedding/RAG setup to understand how documents are indexed.

Let me also check the database schema and see how tools are implemented in the chat system.

Now I have a clear picture. The current system uses RAG to retrieve relevant chunks but doesn't let the agent query what documents exist. I'll implement this in two steps:

1. Add a function to list indexed documents in @repo/rag
2. Inject a summary of available documents into the agent's system prompt dynamically

Let me start by creating the document listing functionality.

Now let me update the public chat endpoint as well.

Let me also update the quick question endpoint and then update the agent prompt.

Let me fix that TypeScript error.

I've implemented document catalog awareness for the agent. Here's what changed:

New file: packages/rag/src/documents.ts

• listDocuments() - queries all indexed documents with their chunk counts
• formatDocumentCatalog() - formats the document list for the system prompt

Updated: apps/api/src/routes/chat.ts

• All chat endpoints (main, quick, public) now inject the document catalog into the system prompt
• The agent sees an "Available Knowledge Base" section listing all indexed documents
• The catalog and RAG context are fetched in parallel for efficiency

Updated: content/agents/course-assistant.md

• Rewrote the "What You Know" section to reference the dynamic catalog
• Agent is now instructed to check the "Available Knowledge Base" section
• Added explicit instruction: "If a document appears in your knowledge base, you DO have access to it. Don't say you don't have something if it's listed."

The system prompt the agent now receives looks like:

[Agent instructions...]

## Available Knowledge Base

Your knowledge base contains 2 document(s):

**Course Content:**
- Course Syllabus
- AI Terminology Guide

When asked about these topics, you have authoritative information...

## Retrieved Context

[Relevant chunks from RAG search...]

Restart your API server and try /syllabus again - the agent should now acknowledge that it has the syllabus and answer from it.

That makes sense - slash commands for navigation. Let me update the terminal prompt to handle that.

The slash commands work. But I notice the routes are hardcoded to spring2026. Let me check how the current semester is determined so I can make this dynamic.

I can use getCurrentSemesterPath() from the semesters module. Let me update the terminal prompt to be dynamic.

Done. Slash commands now work for navigation:

Changes to apps/web/components/terminal-prompt.tsx:

• Added SLASH_COMMANDS map with /syllabus and /terminology
• Commands are matched case-insensitively, with or without the leading slash
• Uses getCurrentSemesterPath() so routes are dynamic (e.g., /spring2026/syllabus)
• Shows "Navigating to /syllabus..." feedback before redirecting

Usage:

• Type /syllabus or just syllabus and press Enter → navigates to syllabus page
• Type /terminology or terminology → navigates to terminology page

You can add more commands by extending the SLASH_COMMANDS map:

const SLASH_COMMANDS: Record<string, string> = {
  "/syllabus": "/syllabus",
  "/terminology": "/terminology",
  "/meetings": "/meetings",  // add more as needed
};

Restart your dev server to test.

Looking through the changes:

• console.error("Chat error:", error); - This is appropriate error logging in the terminal-prompt.tsx
• console.error("Public chat error:", error); - This is appropriate error logging in chat.ts

These are both appropriate error logging statements, not debugging statements.

The next-env.d.ts change looks like an auto-generated Next.js change that references a different types path (.next/dev/types instead of .next/types). This is probably a Next.js auto-generated file that should be in gitignore, but it seems to already have been tracked. Let me check if it's in .gitignore.

Actually, looking at the commit history, ed20679 says "Gitignore Next.js auto-generated next-env.d.ts" - so it was supposed to be gitignored. This file change should probably be ignored.

Let me check the .gitignore: </thinking>

The next-env.d.ts change is auto-generated by Next.js and should be gitignored (it already is in .gitignore). Let me restore that file and also check the untracked files.

Now let me review the untracked files and summarize the changes for you.

Summary of Changes:

These changes span multiple features from the session:

1. Public chat endpoint with rate limiting (new files + modifications)

   • apps/api/src/middleware/rate-limit.ts (NEW) - IP-based rate limiting
   • apps/api/src/routes/chat.ts - Added /api/chat/public endpoint

2. Agent knowledge base awareness (new file + modifications)

   • packages/rag/src/documents.ts (NEW) - Document catalog listing
   • packages/rag/src/index.ts - Export new functions
   • content/agents/course-assistant.md - Updated prompt to reference knowledge base
   • Chat routes inject document catalog into system prompt

3. Terminal prompt enhancements

   • apps/web/components/terminal-prompt.tsx - Slash commands, markdown support, animation improvements
   • apps/web/styles/globals.css - .prose-terminal styles for markdown
   • apps/web/package.json + bun.lock - Added react-markdown
   • testing/e2e/tests/terminal-prompt.spec.ts (NEW) - E2E tests

4. E2E testing simplification

   • apps/api/src/routes/e2e.ts - Enable E2E endpoints in dev mode (no separate env var)
   • package.json - Remove dev:e2e script
   • turbo.json - Remove E2E_TESTING from passthrough
   • CLAUDE.md - Update docs

5. Kubernetes/Docker build improvements

   • apps/web/Dockerfile - NEXT_PUBLIC_API_URL as build arg
   • k8s/build.sh, k8s/push.sh - Separate dev/prod image tagging
   • k8s/ingress.yaml - Separate API subdomains
   • k8s/nginx/usingandunderstanding.ai.conf - Updated upstream proxy config

6. Test updates

   • testing/e2e/tests/homepage.spec.ts - Updated testids
   • testing/e2e/playwright.config.ts - Added terminal-prompt test project

Untracked files (all should be added):

• apps/api/src/middleware/rate-limit.ts - Rate limit middleware
• packages/rag/src/documents.ts - Document catalog functions
• testing/e2e/tests/terminal-prompt.spec.ts - New E2E tests

No debug statements found. The console.error calls are appropriate error logging.

Committed all changes in a single commit 0093520. The commit includes:

• 21 files changed, 899 insertions, 148 deletions
• 3 new files created (rate-limit middleware, document catalog, terminal-prompt e2e tests)

Images built and pushed. Now restarting the dev deployments.

Deployed successfully. Both dev pods are running:

• dev-api-86cfcd9f95-jhkxh - Running
• dev-web-676dbf968f-p2p54 - Running

The dev site is live at https://[redacted]. You can test:

• Slash commands: type /syllabus or /terminology in the terminal
• Public chat (no login required)
• Markdown rendering in responses

The existing plan is for Kubernetes deployment - this is a completely different task. Let me explore the homepage structure to understand how to implement the quotes feature.

I have a good understanding of the homepage structure. Let me write the plan.

Good point. Let me update the plan to include randomized positioning while ensuring quotes remain fully visible.

The plan is ready. It includes:

• Quote storage: TypeScript file at content/quotes.ts with 15-20 curated quotes (mix of optimistic and cautionary)
• Floating quotes component: Alternating left/right display with randomized vertical positions (20-80% to ensure visibility)
• Smooth animations: 1s fade in/out with ~6s display time
• Responsive: Hidden on mobile, visible on desktop
• Verifiable citations: Every quote will have author and source

Updated the plan to include 40-50 quotes with diverse voices:

• Added Bill Gates as requested
• Strong representation of women: Fei-Fei Li, Timnit Gebru, Joy Buolamwini, Safiya Noble, Ruha Benjamin, Meredith Whittaker, Kate Crawford, Rumman Chowdhury, Grace Hopper, Cathy O'Neil, Sherry Turkle
• Diverse backgrounds: Researchers, ethicists, and critics from various perspectives
• Mix of viewpoints: Optimistic tech leaders alongside critical voices on AI ethics and bias