⚡ Bolt: [performance improvement] Pre-compute Maps in hot loops

[servathadi]

💡 What

Pre-computes the nodeMap (mapping node slugs to GraphNode objects) using a useRef that updates only during dependency changes in the useEffect, rather than instantiating a new Map() on every tick of the requestAnimationFrame loop.

🎯 Why

In the physics simulation step (simulate), allocating a new Map() on every single frame (~60 times per second) creates significant, unnecessary garbage collection (GC) pressure, which causes micro-stutters and drops frame rates during the knowledge graph canvas rendering.

📊 Impact

Eliminates thousands of object allocations per minute in hot loops, drastically reducing GC pauses and producing much smoother and consistent canvas rendering, particularly for graphs with higher node counts.

🔬 Measurement

Run the application and navigate to /explore. Using Chrome DevTools Performance tab, record the rendering over several seconds. Notice the removal of "minor GC" blocks that previously spiked on every frame allocation during the simulation loop.

---

PR created automatically by Jules for task 15446805154286869716 started by @servathadi

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[chatgpt-codex-connector]

Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review	Status	Commit	Review trigger
📝 Code Review	✅ Completed 2026-09-14T03:23:10.591085Z	8f4d187	PR opened

ℹ️ About Codex in GitHub

Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you

• Open a pull request for review
• Mark a draft as ready
• Comment "@codex review" or "@codex security review".

Codex reacts with 👀 while any review is running, comments if it has suggestions, and reacts with 👍 once all reviews finish with no findings.