claude-analytic: See Where Your Claude Code Tokens Actually Went
A small local CLI that reads your Claude Code session files and reports token usage and cache hit rate — no network calls, no API keys, everything stays on your machine.
Blog
Thoughts on building systems that ship — cloud, full-stack, and AI.
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SiteCanopy: Crawl a Website and Map Every API Each Page Calls
A BFS crawler in headless Chromium that records every network call on every page and tells you which ones are APIs — Playwright + FastAPI on the backend, a React dashboard with live WebSocket progress, and JSON/TXT/HAR/Markdown exports.
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Building Your First MCP Server with .NET: Connecting AI to Real Backend Tools
My first Model Context Protocol server in .NET 9 — exposing SQLite-backed CRUD tools over JSON-RPC/stdio so an AI client can take real backend actions, not just chat.
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Spec-Driven Development in Practice: Building a Book Catalog App with AI
The spec is the boss, the code is the output — how Spec-Driven Development keeps AI-assisted coding from drifting, shown through a full-stack Book Catalog app.
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Building a Local AI Chat App with Ollama, FastAPI, and React
TestOllamaAPI: a full-stack local AI chat app — React frontend, Python FastAPI backend, and a local LLM running in Ollama, with conversation history in SQLite.
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Understanding Quartz.NET: Building Scheduled Background Jobs in ASP.NET Core
What Quartz.NET is, why it beats custom timer logic, and how I built a notification API where a cron-scheduled background job writes to SQLite via EF Core.
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How I Built a Multi-Agent (11 agents) System to Keep Requirements, Docs, and Sprints in Sync
Project Sentinel: a human-in-the-loop, 11-agent AI system that detects requirement drift across meeting decisions, SRS/BRD docs, and Azure DevOps — and fixes it on approval.
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EF Core 10 + SQL Server: Native JSON Support Has Officially Arrived
EF Core 10 brings native JSON columns to SQL Server — strongly typed C# objects stored as JSON documents, with full LINQ-to-JSON querying and no value converters.
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Is learning Data Structures and Algorithms still worth it in the age of AI?
AI can generate code in seconds — so is DSA still worth weeks of study? Yes: it's the lens that lets you judge, optimise, and scale what AI produces.
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Beyond the Buzzwords: How AI, ML, and DS Actually Power Modern Companies
DS discovers, ML predicts, AI acts — the roles of Data Science, Machine Learning, and AI explained through a practical online-bookstore recommendation example.
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Feeling overwhelmed by Azure (AI, ML, and Data Science)? You're not alone.
A simple tree diagram of Azure's AI, ML, and Data Science ecosystem — prebuilt AI services, custom ML, data services, infrastructure, MLOps, and developer tools, all in one picture.
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SQL Query with Dynamic C# and Dapper (nuget)
How Dapper, a micro-ORM for ADO.NET, lets you query SQL Server and read fields like object properties — no models or classes needed thanks to dynamic.
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AI-ML [Part-1]: Introduction to Artificial Intelligence & Machine Learning
The start of my AI learning series — what AI is, its types by capability and functionality, the role of data, and how ML, Deep Learning, and Generative AI fit together.
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Single Sign-On in ASP.NET with Microsoft Entra ID (Azure Active Directory)
A step-by-step guide to SSO with Microsoft Entra ID — registering the app in Azure, adding users, and wiring OpenID Connect authentication into an ASP.NET application.
-
Docker for Beginners
What Docker is, why it matters, and a hands-on walkthrough — from writing your first Dockerfile to running a Node.js app in a container.
Latest claude-analytic: See Where Your Claude Code Tokens Actually Went
A small local CLI that reads your Claude Code session files and reports token usage and cache hit rate — no network calls, no API keys, everything stays on your machine.
- Node.js
- CLI
- Claude Code
- +3
SiteCanopy: Crawl a Website and Map Every API Each Page Calls
A BFS crawler in headless Chromium that records every network call on every page and tells you which ones are APIs — Playwright + FastAPI on the backend, a React dashboard with live WebSocket progress, and JSON/TXT/HAR/Markdown exports.
- Python
- FastAPI
- Playwright
- +6
Building Your First MCP Server with .NET: Connecting AI to Real Backend Tools
My first Model Context Protocol server in .NET 9 — exposing SQLite-backed CRUD tools over JSON-RPC/stdio so an AI client can take real backend actions, not just chat.
- .NET
- C#
- MCP
- +3
Spec-Driven Development in Practice: Building a Book Catalog App with AI
The spec is the boss, the code is the output — how Spec-Driven Development keeps AI-assisted coding from drifting, shown through a full-stack Book Catalog app.
- SDD
- Software Engineering
- AI Coding
- +3
Building a Local AI Chat App with Ollama, FastAPI, and React
TestOllamaAPI: a full-stack local AI chat app — React frontend, Python FastAPI backend, and a local LLM running in Ollama, with conversation history in SQLite.
- Ollama
- FastAPI
- React
- +4
Understanding Quartz.NET: Building Scheduled Background Jobs in ASP.NET Core
What Quartz.NET is, why it beats custom timer logic, and how I built a notification API where a cron-scheduled background job writes to SQLite via EF Core.
- .NET
- ASP.NET Core
- Quartz.NET
- +3
How I Built a Multi-Agent (11 agents) System to Keep Requirements, Docs, and Sprints in Sync
Project Sentinel: a human-in-the-loop, 11-agent AI system that detects requirement drift across meeting decisions, SRS/BRD docs, and Azure DevOps — and fixes it on approval.
- AI
- Multi-Agent
- Azure OpenAI
- +4
EF Core 10 + SQL Server: Native JSON Support Has Officially Arrived
EF Core 10 brings native JSON columns to SQL Server — strongly typed C# objects stored as JSON documents, with full LINQ-to-JSON querying and no value converters.
- EF Core
- SQL Server
- C#
- +2
Is learning Data Structures and Algorithms still worth it in the age of AI?
AI can generate code in seconds — so is DSA still worth weeks of study? Yes: it's the lens that lets you judge, optimise, and scale what AI produces.
- DSA
- AI
- Software Engineering
- +1
Beyond the Buzzwords: How AI, ML, and DS Actually Power Modern Companies
DS discovers, ML predicts, AI acts — the roles of Data Science, Machine Learning, and AI explained through a practical online-bookstore recommendation example.
- AI
- Machine Learning
- Data Science
- +1
Feeling overwhelmed by Azure (AI, ML, and Data Science)? You're not alone.
A simple tree diagram of Azure's AI, ML, and Data Science ecosystem — prebuilt AI services, custom ML, data services, infrastructure, MLOps, and developer tools, all in one picture.
- Azure
- AI
- Machine Learning
- +2
SQL Query with Dynamic C# and Dapper (nuget)
How Dapper, a micro-ORM for ADO.NET, lets you query SQL Server and read fields like object properties — no models or classes needed thanks to dynamic.
- C#
- Dapper
- SQL Server
- +2
AI-ML [Part-1]: Introduction to Artificial Intelligence & Machine Learning
The start of my AI learning series — what AI is, its types by capability and functionality, the role of data, and how ML, Deep Learning, and Generative AI fit together.
- AI
- Machine Learning
- Deep Learning
- +1
Single Sign-On in ASP.NET with Microsoft Entra ID (Azure Active Directory)
A step-by-step guide to SSO with Microsoft Entra ID — registering the app in Azure, adding users, and wiring OpenID Connect authentication into an ASP.NET application.
- ASP.NET
- Azure
- Microsoft Entra ID
- +3
Docker for Beginners
What Docker is, why it matters, and a hands-on walkthrough — from writing your first Dockerfile to running a Node.js app in a container.
- Docker
- Containers
- DevOps
- +1
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