Plan: Add Auto-Play to Markov Babbler Generation Phase
Implement the following plan:
Plan: Add Auto-Play to Markov Babbler Generation Phase
Context
The Markov Babbler's generation phase requires clicking "Next Word" for every single word. The user wants a way to watch it continuously generate text — a play/pause toggle so it can "just rip" without repeated clicking.
Approach
Add play/pause and speed controls to the generation phase in markov-babbler.tsx, reusing the same pattern already established in the walkthrough phases (markov-babbler-walkthrough.tsx uses isPlaying, speed, and setTimeout-based auto-advance).
File Modified
apps/web/components/mdx/markov-babbler.tsx (lines 89-109 for handleStep, lines 226-309 for generation UI)
State additions
const [isPlaying, setIsPlaying] = useState(false);
const [speed, setSpeed] = useState<"slow" | "normal" | "fast">("normal");
const playingRef = useRef(false);
const GENERATION_SPEED_MS = { slow: 1200, normal: 800, fast: 400 };
Refactor handleStep
Current handleStep has a 600ms setTimeout for the probability-bar transition animation. At fast auto-play speed (400ms), this creates a race condition. Fix: skip the animation delay when auto-playing — set the next-word probabilities immediately.
const handleStep = useCallback(() => {
// ... existing generation logic ...
if (result) {
setGeneratedWords((prev) => [...prev, result.word]);
setLastSelectedWord(result.word);
const nextResult = generateNext(currentModel, result.word, temperature);
if (nextResult) {
if (playingRef.current) {
// Skip animation delay during auto-play for snappy feel
setCurrentProbabilities(nextResult.probabilities);
setLastSelectedWord(undefined);
} else {
// Manual click: keep the 600ms animation showing which word was picked
setCurrentProbabilities(result.probabilities);
setTimeout(() => {
setCurrentProbabilities(nextResult.probabilities);
setLastSelectedWord(undefined);
}, 600);
}
}
}
}, [generatedWords, temperature]);
Auto-play effect
Standard useEffect + setTimeout pattern (same as walkthrough phases). Triggers on generatedWords change so each new word schedules the next step.
useEffect(() => {
playingRef.current = isPlaying;
if (!isPlaying) return;
const timer = setTimeout(handleStep, GENERATION_SPEED_MS[speed]);
return () => clearTimeout(timer);
}, [isPlaying, speed, generatedWords, handleStep]);
Stop auto-play in Start Over / New Text
Add setIsPlaying(false) to handleStartOver and handleRetrain.
UI controls
Replace the current button row with:
[▶ Play] [Next Word] [Slow] [Normal] [Fast]
[Start Over] [New Text]
When playing:
[⏸ Pause] [Next Word (disabled)] [Slow] [Normal] [Fast]
[Start Over] [New Text]
- Play/Pause: primary accent style when playing
- Speed buttons: small outline buttons,
border-accent bg-accent/10 text-accentwhen active (same pattern as text sample selector buttons already in the component) - "Next Word" disabled during auto-play to avoid double-stepping
E2E Test
Add tests to the existing testing/e2e/tests/markov-babbler.spec.ts file, inside the existing "Markov Babbler" describe block. Tests use the same helper pattern: train → skip walkthrough → reach generation phase.
New data-testid attributes needed
auto-play-button— the Play/Pause toggle buttonspeed-selector— container for speed buttonsspeed-slow,speed-normal,speed-fast— individual speed buttons
Tests to add
-
"auto-play button renders in generation mode" — Train, skip walkthrough, verify
auto-play-buttonis visible and says "Play" -
"auto-play generates words continuously" — Train, skip, click Play, wait ~2.5s, click Pause, verify generated text has 3+ words (more than the initial 1)
-
"pause stops auto-play" — Train, skip, click Play, wait 1s, click Pause (verify it says "Play" again), record word count, wait 1.5s, verify word count hasn't changed
-
"speed selector changes generation speed" — Train, skip, verify speed buttons visible, click "Fast", verify active state applied
-
"start over stops auto-play" — Train, skip, click Play, wait 1s, click Start Over, verify auto-play button says "Play" (not "Pause")
-
"next word button disabled during auto-play" — Train, skip, click Play, verify next-word-button is disabled, click Pause, verify it's enabled again
Verification
bun run tsc— type check passescd testing/e2e && CI=true bunx playwright test --project=markov-babbler— e2e tests pass- Manual: Click Play, words generate continuously at selected speed
- Manual: Click Pause, generation stops
- Manual: Switch speed while playing, timing changes immediately
- Manual: Click "Next Word" while paused, single step works as before
- Manual: Click "Start Over" while playing, stops and resets
If you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: ~/.claude/projects/-Users-challen-www-usingandunderstanding-ai/47135cc7-1e33-4624-b591-71edf2f75b9f.jsonl
Now let me also check the walkthrough file to see the existing play/pause pattern.
Good, I have a clear picture of the existing patterns. Let me now implement the changes.
First, add the new state and imports (useEffect):
Add the speed type, constants, and new state variables:
Add the isPlaying, speed, and playingRef state after the existing state declarations:
Now refactor handleStep to skip animation delay during auto-play:
Add setIsPlaying(false) to handleStartOver and handleRetrain:
Now update the UI controls in the generation phase:
Let me verify the final state of the file looks correct.
Component looks good. Now let me add the e2e tests.
Now let's verify with type checking and e2e tests.
TypeScript passes. Dev server returns 502 (not running properly). Let me start it and run the e2e tests.
All 25 tests pass, including all 6 new auto-play tests.
All done. Here's what was implemented:
apps/web/components/mdx/markov-babbler.tsx:
- Added
isPlaying,speed, andplayingRefstate - Refactored
handleStepto skip the 600ms animation delay during auto-play (prevents race conditions at fast speed) - Added
useEffectauto-play timer that chains offgeneratedWordschanges - Wired
setIsPlaying(false)intohandleStartOverandhandleRetrain - Added Play/Pause toggle button, speed selector (Slow/Normal/Fast), and disabled Next Word during auto-play
testing/e2e/tests/markov-babbler.spec.ts:
- 6 new tests: button renders, continuous generation, pause stops generation, speed selector, start over stops auto-play, next word disabled during auto-play
Verification: TypeScript passes, all 25 e2e tests pass (19 existing + 6 new).
Your task
First, run git status, git diff, and git log --oneline -10 to understand the current state.
Then add and commit all modified files with a descriptive message. Break the changes into multiple commits if appropriate. If there are untracked files, ask if they should be added or added to the appropriate .gitignore file. The user may also want to take over at this point, so provide an abort option as well. Always check changes for unnecessary debugging statements or logging that might have been accidentally included. Prompt the user if you find any, and offer to remove each one by one. Do not use interactive git staging (git add -p) as it does not work.
All package.json changes are version bumps from 2026.2.30 → 2026.2.31. No debugging statements or stray logging in any of the diffs. I see four distinct changes to commit. Let me check the non-obvious ones before asking:
The activity-stage-instructor.tsx change is a timing indicator fix (buffer logic refactor), and flashcards/client.tsx adds ArrowUp key support. These look like unrelated work-in-progress changes from before today.
Here's what I'm seeing:
- Markov Babbler auto-play —
markov-babbler.tsx+markov-babbler.spec.ts(today's work) - Flashcards ArrowUp key —
flashcards/client.tsx(adds ArrowUp to reveal shortcut) - Activity stage timing fix —
activity-stage-instructor.tsx(buffer calculation refactor) - Version bump — all
package.jsonfiles (2026.2.30 → 2026.2.31)
No debugging statements found. How would you like to proceed?
- Commit all as separate commits (4 commits)
- Commit all together (1 commit)
- Abort — take over yourself
Read the output file to retrieve the result: [tmp-path]
Sounds good. Let me split them into separate commits.
All done — 4 commits on main, working tree clean:
d640c6eAdd auto-play with speed controls to Markov Babbler generation phase07ee1a7Add ArrowUp key to reveal flashcard name302f64dFix activity timing indicator to use buffer-based calculation19ab749Bump version to 2026.2.31
Your task
First, run git status, git diff, and git log --oneline -10 to understand the current state.
Then add and commit all modified files with a descriptive message. Break the changes into multiple commits if appropriate. If there are untracked files, ask if they should be added or added to the appropriate .gitignore file. The user may also want to take over at this point, so provide an abort option as well. Always check changes for unnecessary debugging statements or logging that might have been accidentally included. Prompt the user if you find any, and offer to remove each one by one. Do not use interactive git staging (git add -p) as it does not work.
All 23 changes are version bumps from 2026.2.31 → 2026.2.32. No debugging statements. Clean.
Done — 91d3e19 Bump version to 2026.2.32. Working tree clean.
OK. Now I'm at the point where I need a Chrome content plugin for this course. Here's how I want it to work. I'm on a page. I click a button. The page URL and contents (current DOM, not page source) get sent to the backend for processing. We can probably leave it at that for now, but we should record the URL and the contents in the database. I'd suggest that the plugin be configured with a magic URL that, for now, only instructors can find on their profile page. Uploads to that magic URL are tagged with the user's username and role.
Good, I have a thorough understanding of the codebase. Let me now look at a few specific files to nail down details for the plan.
Now let me look at an example API route to understand the pattern for a new upload endpoint, and check how the extension directory would be structured.
Now I have a clear picture. Let me design the plan with a Plan agent.
Good, I have a thorough understanding. Before I write the final plan, I have a couple of design questions.
Good clarification. So the magic URL (capture token) would live on a user profile page — which doesn't exist yet, so we'd create one. The /capture route could then be the instructor-only page for viewing captured content. Let me confirm.
Let's also allow users to set their first name on the /profile page. And perhaps add a photo?
Gravatar is a great choice — much simpler than file uploads. We compute the avatar URL from the user's email hash. Users who want a custom photo sign up at gravatar.com. Let me now look at how the existing avatar component works and then write the final plan.
Now let me check how the roster page works (as the pattern for instructor-only pages) and the auth client.
Good, I have everything I need. Let me now write the final plan.