2026-05-05

Surfacing an agent's step-by-step reasoning and tool calls behind a single button — how Imaginate turns an agent loop into a peek-on-demand overlay that doesn't pollute the chat surface.

2026-05-03

How I use a Claude Code status line to keep token pressure visible and stay under my preferred context budget.

2026-04-26

How Imaginate's second iteration treats AGENTS.md as a contract, enforces architecture invariants with eslint-plugin-boundaries, and decouples the agent runtime so it drives both the web app and a first-class CLI.

2026-04-26

How Imaginate combines a domain-level escalation ladder with OpenRouter's in-route fallback list so a single agent run survives both provider outages and bad model output without giving up too early or retrying forever.

2026-04-19

Building a vibe coding platform with an AI agent network, E2B sandboxed execution, live streaming of agent thoughts, and multi-provider model support.

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 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