AI coding agents
Daily drivers for generation, review and refactoring — orchestrated, not just prompted.
SYSTEM ARCHITECT · AI ENGINEER · INDIE HACKER
I build what others imagine.
13+ years of production systems, fused with AI-native agent workflows — MVPs in days, security-first, shipped fast.
I'm Dinudsi — a System Architect based in Udaipur, India, shipping software since 2009. I design enterprise-grade backends and secure APIs, then multiply the output with AI agent workflows so teams get MVPs in days, not months — at ~80% lower cost.
The core is Spring Boot, Node.js, PostgreSQL. The accelerator is Claude Code, Codex, OpenCode, Copilot CLI. The glue is custom MCP servers, agent memory systems, and security-first code review on every merge.
Outside client work I build in public — Docly, Commitify, and currently strangers.lol.
Everything I reach for to design, build, review and ship production systems — from coding agents to vector stores.
Daily drivers for generation, review and refactoring — orchestrated, not just prompted.
Indie products, agent tooling and production systems — each one built to survive contact with real users.
A new real-time social experiment — pitched from Next.js to Vite + React + Fastify when persistent WebSockets demanded it. Day-by-day build logs on X.
Visit siteBrowser markdown editor with live preview, PDF export, syntax highlighting and unlimited saves. No paywall — Google sign-in only if you want the cloud.
Open DoclyCross-agent memory layer. Lets AI coding agents retain knowledge and share context across sessions via vector embeddings.
Marketplace of advanced domain-specific skills, hooks, agents and commands — security-focused tooling for AI workflows.
GitHubVS Code extension that auto-commits your changes every 5 minutes with Copilot-generated commit messages. Pinned on GitHub.
GitHubA transformer language model written from scratch in PyTorch — trained for structured tool-calling via next-token prediction.
Universal collaboration protocol + CLI for multi-agent LLM teams — Claude Code, Codex and friends working as one unit.
GitHubReal-time plate recognition, violence detection and threat analysis — YOLOv5 + vision-language models over live video.
How one architect + a swarm of agents delivers production software at 10× speed.
Role-based agents for generation, review, testing and deployment — coordinated through custom orchestrators.
Tools and integrations that extend what agents can touch — files, APIs, internal systems.
Persistent context (BrainSync) so agents remember decisions across sessions and teammates.
Every PR: AI-assisted vulnerability detection, secret scanning and threat modeling before merge.
I don't just write code — I orchestrate AI systems that write, review, and ship code.
Open to new MVPs, agent tooling and out-of-the-box ideas. Pick a channel — I reply fast.
Dinudsi is a System Architect and AI Engineer based in Udaipur, Rajasthan, India. With 13+ years of software engineering experience since 2009, he combines deep expertise in traditional software architecture with modern AI-augmented workflows.
His core engineering skills include Spring Boot, Node.js, PostgreSQL, Docker, AWS, and secure OAuth2 implementation. He augments this foundation by orchestrating AI coding agents like Claude Code, Codex, and Copilot CLI to ship production software rapidly. He also builds custom MCP (Model Context Protocol) servers and agent memory systems to extend AI capabilities.
Notable projects include Docly (a free markdown editor), Commitify (an open-source VS Code extension for AI auto-commits), BrainSync (a cross-agent memory system), BrainByte (a transformer-based language model built from scratch), collab-cli (multi-agent collaboration protocol), a Claude Security Marketplace, strangers.lol (building in public), and an AI-Enabled CCTV Security System.
His philosophy bridges robust system design with AI-accelerated execution, focusing heavily on security-first code reviews and scalable architecture. Contact: dpanchal.fullstack@gmail.com | GitHub: github.com/dinudsi | X: x.com/dinudsi