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DareDev256/README.md

James Dare

James Dare — AI Solutions Engineer

AI Solutions Engineer · Toronto

Directed 350+ music videos and earned a gold record. Now I build AI systems — MCP servers, autonomous agents, RAG pipelines. Shipped, not slides.

Portfolio LinkedIn X


Featured

Stars Forks

The first MCP server for Final Cut Pro. Natural-language timeline editing — analysis, health checks, non-destructive edits, beat detection. Python · MCP SDK · FCPXML

Stars

Structured prompt workbench for nine image/video engines — Nano Banana Pro, GPT-Image-2, Seedance, Veo, Kling, plus the open-source spectrum. TypeScript


Hackathons

Project Built
chain-recall — AI memory layer for luxury hotels. The chain already pays for Oracle OPERA; this unlocks that data at the moment of arrival. Anthropic Hackathon, SF · 8 hours · May 2026 Stars
second-opinion — evidence-grounded appointment brief generator for adenomyosis patients. Citation-tracked, built for someone who needed it. Anthropic Opus 4.7 Hackathon Live →

Also Worth a Look

Project What It Is
pulsemap Disease surveillance dashboard — weather radar for outbreaks. Real-time WHO data, animated spread arcs. Live →
music-time-machine Music intelligence dashboard across Spotify, YouTube, Billboard. The bridge between the video years and the AI work.
rag-system-with-citations RAG pipeline with source attribution — retrieval you can actually verify.
clickfix-defense-kit macOS anti-infostealer toolkit, born from a real ClickFix attack on my own machine.

Passion OS (private) — my personal AI operating system. Agent + dashboard + memory MCP, running 24/7 on a Mac Mini, managing repos while I sleep.


Open To

AI Solutions Engineer · Developer Relations · Solutions Architect · Founding Engineer

TypeScript Python Node.js React Next.js MCP Anthropic Vercel SQLite Playwright


AI literacy games — 6 built, all playable

Each one teaches a concept by making you do it, not read about it.

Game Concept
red-team-arena Break the model, then learn to defend it Play →
hallucination-hunter Spot AI hallucinations Play →
token-prophet Predict the next token Play →
bias-buster Detect bias in LLM output Play →
prompt-craft Prompt engineering challenges Play →
tool-match Match intents to the right tool Play →
Everything else
Project What It Is
toronto-parking-viz 3D timelapse of Toronto parking tickets — deck.gl + Mapbox Live →
tdotssolutionsz-portfolio Music video portfolio Live →
vibe-coder Survivors-style idle game powered by real coding XP Play →
whats-poppin Bubble pop game with cultural sauce Play →
lockedin One-tap connection card — an action protocol, not a Linktree clone Live →
jackpoint One command sets up every AI coding CLI on your Mac
llm-evaluation-harness Rule-based + semantic + LLM-as-judge scoring
vector-vs-keyword-search Semantic vs BM25, side by side
hand-playground Hand-tracking interaction lab — MediaPipe spatial UI
syreneffect-site Creator + Twitch streamer site
buildright Duolingo-style mobile learning
tapin-native Expo iOS deep-link feasibility spike
Hard problems I've actually solved

Real bugs from real repos, not tutorial exercises.

Zero-denominator crashes in FCPXML time parsing — Final Cut uses rational time notation (1001/30000s). Malformed files sent 0/0 framedurations and crashed the parser. Traced every division, added guards at the parsing boundary. 5 fixes, 7 new tests.

Silent marker loss from duplicate clip names — markers were placed by clip name, but editors reuse names. Later markers silently overwrote earlier ones — data loss, no error. Fixed by keying on (clip_name, clip_index) tuples so every placement is positionally unambiguous.

Context window management for autonomous agents — tool outputs consumed 83% of context. Added observation masking (compress to structured summaries), sub-agent isolation (scoped context per task), and a 70% utilization compression trigger. Eliminated mid-task truncation.

SSE invalidation starvation under rapid agent cycles — a plain trailing debounce reset on every event. During bursts the timer restarted endlessly and the UI never refreshed, showing stale data for minutes. Replaced with a hybrid throttle-debounce: 300ms trailing edge for coalescing plus a 1.5s max-wait ceiling guaranteeing freshness.

Per-frame memory allocation in an animation loopFunction.prototype.bind() inside requestAnimationFrame allocated ~60 objects/second. Cached the reference, moved timing to CSS custom properties. Cut ~3,600 allocations per minute.

Enum aliasing flakeMarkerType.INCOMPLETE and MarkerType.TODO shared an underlying value. Python aliases duplicate enum values to the first-defined member, so MarkerType(1) always returned TODO. The test asserted by name, got identity. Fixed by asserting on .value.

What I'd build differently

Monolithic agent config — a single config.json at 92 modules is a merge-conflict magnet. Should have split to per-module config around module 20. Config decisions compound faster than code decisions.

SQLite access patterns — right database, wrong abstraction. Raw SQL in 30+ modules instead of a thin repository layer. The storage choice was correct; the access pattern was the mistake.

Test strategy — hundreds of unit tests in fcpxml-mcp-server, but the bugs that shipped were integration-level: malformed XML that parsed fine alone and broke combined. Should have started with 10 integration tests against real FCPXML files.

Component explosion — 121 components, not enough composition. A <DataCard> with render props beats three single-use wrappers sharing 80% of their markup. Component count should fall as a codebase matures.

Learning Suite shared shell — 6 games with near-identical shells, each built independently. A shared <GameShell> would have cut 40% of the markup. Noticed at game 4 and kept shipping — speed over architecture was right for the first few, doubling down past that wasn't.


Toronto · jamesdare.com

Pinned Loading

  1. fcpxml-mcp-server fcpxml-mcp-server Public

    🎬 The first AI-powered MCP server for Final Cut Pro XML. Control your edits with natural language.

    Python 68 12

  2. Ultimate-Image-Video-Prompt-Generator Ultimate-Image-Video-Prompt-Generator Public

    AI prompt engineering tool for image/video generation — structured prompt builder for Nano Banana , Veo3 , DALL-E, Kling 01, Sora workflows

    TypeScript 8 2

  3. pulsemap pulsemap Public

    Real-time global disease surveillance dashboard — weather radar for outbreaks. Powered by WHO data, Mapbox GL, Supabase, and Next.js.

    TypeScript 2

  4. music-time-machine music-time-machine Public

    A comprehensive music intelligence dashboard - track any song across Spotify, YouTube, Billboard, and Genius

    TypeScript 2

  5. tdotssolutionsz-portfolio tdotssolutionsz-portfolio Public

    Music video portfolio for TdotsSolutionsz

    JavaScript 1