Shahzad Bhatti

What happens when over a thousand AI agents discover a shared message board, invent their own protocols, and coordinate an attack.

I recently read Rust Projects – Write a Redis Clone book that builds a real Redis-compatible server from scratch in async Rust.

How to design agents as a graph, run them through a harness that keeps them reliable, sandbox them because you can’t just trust what they do.

This is a part of series on structured concurrency: Part I (the general problem and TypeScript), Part II (Erlang and Elixir), Part III (Go and Rust), and Part IV (Kotlin and Swift).

Introduction Every major cloud now supports Serverless FAAS capabilities like AWS Lambda/Step Functions, Azure Durable Functions, GCP Cloud Functions and Cloudflare Durable Objects where you write a function or a small stateful actor.

I have seen some systems never crash, they start cleanly, swallow every error, and keep running no matter what goes wrong.

You may start with a simple agent for demo that calls a tool, gets an answer, prints it.

Observability is a key part of any infrastructure but I’ve watched teams repeat the same mistakes around measuring availability.

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How automated reasoning with Dafny and TLA+ reduces review burden, catches subtle bugs, and gives you a principled way to resist the pressure to ship without thinking The Problem Keeps Getting Worse Over the past year I’ve written about agentic coding from