Python

Transform any REST API into an MCP server — connectors that make existing APIs usable by LLM tools.

The Celery Question # For years, when someone asked “How do I handle background tasks in Django?”, the answer was almost always “Use Celery”. And for good reason. Celery is mature, battle-tested, and has solved async task processing for countless Django applications. It has extensive documentation, a large ecosystem of plugins, and most Django developers have at least some experience with it.

The Challenge of Reliable Background Operations # Building web applications with Flask is straightforward until you need to handle operations that can fail. Database operations timeout, external APIs become unavailable, and network connections drop. These failures are inevitable in production systems, yet handling them gracefully often requires significant engineering effort.

Side-by-side Flask apps showing durable execution with Restate versus plain request handlers.

The Problem: When APIs Meet AI Assistants # A few weeks ago, I was experimenting with Model Context Protocol (MCP) for a Kafka integration project. The experience was eye-opening - being able to interact with complex systems through natural language felt like a glimpse into the future of development workflows.

Turn an existing Django REST Framework project into MCP tools for AI assistants in minutes.

A step‑by‑step guide to using FastMCP and the MCP protocol to expose Kafka operations (topic management, produce/consume, troubleshooting) as LLM‑accessible tools.

Expose Kafka cluster operations as LLM-accessible tools via the Model Context Protocol.

Real-time iceberg monitoring with NASA data, automated pipelines, and GitHub as a data platform.

Minimal Server-Sent Events demo — a live CPU/RAM dashboard with almost no client code.

Mastering the egg drop involves a careful blend of strategy, mathematics, and optimization. From crafting a plan with two replicas to understanding the arithmetic behind the sum formula, the jewel thief’s mission highlights the fascinating intersection of math and real-world problem-solving. As we unravel the complexities, we find that breaking a few eggs may require a dash of strategic brilliance and a pinch of mathematical finesse.

CSV (Comma-Separated Values) files are a common format for storing tabular data. In this blog post, we’ll explore the process of creating a simple CSV reader in C using CPython standard library.