AI engineering, full-stack product systems, and typed developer tools.
I build fast web and mobile applications, experiment with agentic software, and keep reaching for tools that make systems simpler, safer, and easier to evolve.
- AI engineering that ships: agents, RAG workflows, MCP servers, voice/chat interfaces, and evaluation-minded product loops.
- Full-stack TypeScript apps with Next.js, Hono, oRPC, Drizzle, PostgreSQL, Sentry, and clean API boundaries.
- Mobile products with React Native and Expo, especially tooling, navigation, performance, notifications, and polished app structure.
- Rust as the language I study for systems thinking: ownership, concurrency, web servers, embeddings, macros, and reliable backend foundations.
| Layer | Tools I reach for |
|---|---|
| Product UI | React, Next.js, Tailwind CSS, shadcn/ui, React Native, Expo |
| APIs | Hono, oRPC, REST, GraphQL, MCP servers |
| Data | PostgreSQL, Drizzle ORM, Prisma, SQL-first schema design |
| AI systems | LangGraph, RAG, agent workflows, tool calling, voice/chat UX |
| Quality | TypeScript, Vitest, Playwright-style browser testing, Sentry, observability |
| Systems learning | Rust, Rocket, concurrency, macros, embeddings, memory management |
These repositories show the areas I keep returning to:
- langgraph-workflows: LangGraph.js workflows and AI orchestration practice.
- hono-sequential-mcp-server: TypeScript backend experiments around Hono and MCP.
- hono_with_vite: Hono with a modern Vite setup.
- orpc-contract-example: contract-first TypeScript APIs with oRPC.
- simple-mcp: MCP learning and server-side integration experiments.
- rigel-rn: React Native starter architecture with Redux, sagas, maps, notifications, hooks, and performance topics.
- rigel-cli: React Native CLI tooling for screens, components, Redux files, and app structure.
- rust-embeddings: Rust embeddings exploration with fastembed and ONNX Runtime.
- rust-web-server-example, rocket-101, and concurrency: Rust backend and systems practice.
I like systems that are boring in production and sharp in development: typed contracts, small composable services, clear database models, observable failures, and UIs that make complex workflows feel direct.
My current direction is the intersection of AI-native product engineering and practical full-stack architecture: giving agents real tools, real state, real feedback loops, and interfaces people can trust.
GitHub's native contribution graph is the source of truth for my activity. It is a GitHub-counted view, not a raw total of every commit or PR across every branch, fork, or private workspace.
| GitHub contribution metric | Count |
|---|---|
| GitHub-counted contributions | 1,698 |
| Public commits | 20 |
| Public pull requests opened | 2 |
| Public pull request reviews | 0 |
| Public issues opened | 1 |
| Public repositories created | 96 |
| Restricted/private contributions | 1,578 |
Last synced from GitHub: 2026-06-17.
- 2026-06-15: Pushed to mustafaskyer/mustafaskyer on main.
- 2026-06-15: Pushed to mustafaskyer/mustafaskyer on main.
- 2026-06-15: Starred Rajaniraiyn/jzon-rs.
- 2026-06-15: Pushed to mustafaskyer/mustafaskyer on main.
- 2026-06-14: Starred GorvGoyl/Clone-Wars.
GitHub exposes restricted/private contributions as a total, not as a commits vs PRs breakdown. The commit and PR rows above are the public breakdown GitHub exposes, not lifetime totals.