Context Engineering Part 4: Teaching AI to Take Smart Notes
Instead of dropping old messages entirely, what if we could compress them into a summary that preserves essential information while using far fewer tokens?
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Instead of dropping old messages entirely, what if we could compress them into a summary that preserves essential information while using far fewer tokens?
Not all messages are equal. So why treat them that way?
The most common solution to AI amnesia is also the worst: sliding windows. It seems reasonable—keep only the most recent messages, drop the oldest when full. But this seemingly logical approach create
Every Large Language Model has amnesia. And it's not a bug—it's a fundamental design constraint that costs companies millions in lost productivity and wrong code decisions. In this first part of our C
How a frustrating afternoon led to a breakthrough that changed how I use AI forever The Breaking Point It was 3 AM on a Tuesday. I'd been working with Claude Code for six hours straight, architecting

When you're building a SaaS API, every millisecond counts. We recently discovered that our API key validation was a ticking time bomb—and fixed it before it exploded. The Problem Our API uses bearer t
How we enhanced API performance: Reducing latency by 200ms using Hashing

How we moved from synchronous processing to durable workflows in Next.js to prevent data loss and sleep better at night.

The Challenge You have a gRPC client in C# using Grpc.Core that needs to route traffic through an HTTP proxy. Sounds simple, right? Not quite. If you've searched for solutions, you've probably found: Set http_proxy environment variable ✅ Works, but ...
