Recent Blogs
From Distributed Systems Theory to Working Projects
2026-08-06
I describe the workflow I use to study core concepts, hand-code meaningful components, and use AI for guidance, simplification, and testing. Distsys Forge packages that workflow so I can repeat it across new projects.
Read moreQuickspin Grows a Control Plane
2026-08-01
Quickspin used to be a CLI that told Docker to start containers. It now has a control plane that owns sandbox lifecycle, with the CLI as its first client.
Read moreQuickspin: My first agent sandbox platform
2026-07-24
I am building my first agent sandbox platform!
Read moretask-orchestrator - A Container Orchestrator in Go
2026-07-22
A Kubernetes-flavored manager/worker orchestrator in Go: a marginal-cost scheduler, a health-checked Docker task runtime, and a disciplined concurrency model that treats lost updates as seriously as data races.
Read moredistributed-cache - Human vs. AI, One Design Twice
2026-07-22
A distributed in-memory key/value cache in Go, hand-written once and then rebuilt by AI against the same interface — so the two implementations can be run and diffed file-for-file to study concurrency, consistent hashing, and error handling.
Read moreRecent Projects
A vibe coding web app that takes a prompt and generates full web applications, with live-streamed agent thoughts and sandboxed execution across multiple AI providers.
- Vercel AI SDK
- Inngest
- E2B Sandboxes
- OpenAI / Anthropic / Gemini
- PostgreSQL
- Prisma
- tRPC
- Next.js
A YouTube video transcription and RAG chat platform with vector embeddings, pgvector similarity search, and multi-turn conversational AI.
- pgvector
- Gemini Embeddings
- LangChain
- RAG
- Inngest
- Prisma
- Next.js
An n8n/Zapier-like workflow automation platform with a visual node editor, topological execution engine, and AI provider integrations.
- React Flow
- Topological Sort Engine
- Vercel AI SDK
- Inngest
- OpenAI / Anthropic / Gemini
- PostgreSQL
- Next.js
A C++23 LLM inference engine built from scratch, featuring arena allocation, mdspan-backed tensors, and cache-line aligned memory.
- C++23
- Arena Allocator
- std::mdspan Tensors
- Llama 3 / Mistral
- CMake
- GoogleTest
A Kubernetes-style container orchestrator in Go with a manager/worker control plane, an E-PVM marginal-cost scheduler, a health-checked Docker task runtime, and a disciplined concurrency model that treats lost updates as seriously as data races.
- Go
- Docker Engine API
- Marginal-Cost Scheduler
- bbolt
- chi
- cobra
- Generics
A distributed in-memory key/value cache in Go, hand-written and then rebuilt by AI behind the same interface so the two implementations can be diffed file-for-file across LRU eviction, sharded concurrency, consistent hashing, and HTTP request forwarding.
- Go
- Consistent Hashing
- Sharded LRU
- TTL Min-Heap
- net/http
- Standard Library Only
A distributed append-only commit log in Go with Raft consensus, Serf cluster discovery, memory-mapped indices, and leader-aware gRPC load balancing.
- Go
- HashiCorp Raft
- HashiCorp Serf
- gRPC / Protobuf
- Memory-Mapped I/O
- Casbin ACL
Built a Python transportation-network optimization project using NetworkX and A* pathfinding to simulate traffic across weighted road graphs and identify the highest-value unconnected roads to add.
- NetworkX
- A* Pathfinding
- Traffic Simulation
- Greedy Optimization
Built a Python network-flow optimization project using NetworkX to simulate flow assignment across directed graphs with edge-capacity and flow-conservation constraints, benchmarked against Edmonds-Karp maximum flow.
- NetworkX
- Simulated Annealing
- Edmonds-Karp Max Flow
- Boltzmann Criterion
Built a Python grid-world policy optimization project using NetworkX to model a reward-based environment with terminal states, obstacles, and probabilistic action noise to learn optimal navigation policies.
- NetworkX
- Value Iteration
- Stochastic Transitions
- Policy Optimization