You Shipped It Fast. But Did You Ship It Right?
Why AI-accelerated teams keep breaking production — and what the ones that don't are doing differently
The Heap
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When the Sensor Starts Thinking: SnortML, Agentic AI, and the Evolving Architecture of Intrusion Detection
Signature-based detection has always known what it was looking for. Machine learning and autonomous agents are changing the question entirely, shifting from "does this match a known pattern?" to "does this actually make sense in context?"
The science of interviewing developers
All those CEOs on LinkedIn claiming they can find the right candidate in a five-minute conversation? Wrong. Science shows us how we can do better.
Crystal balls and clairvoyance: Future proofing in a world of inevitable change
While the future may be a mystery, you can design software to accommodate future changes. But how much future-proofing gets in the way of good design?
Building a community of open-source documentation contributors
When your open-source project starts getting contributors, it can feel great! But as a project grows, contributors can neglect to document everything.
Underscoring (or dunder-scoring) the importance of native type methods in Python
Standard operators make for clean, readable code. With dunder methods, you can add these operators to your own classes.
Empathy for the Dev: Avoiding common pitfalls when communicating with developers
All too often, developers go deep on the wrong things, when writing documentation. A little bit of empathy can get your docs back on track.
Comparing Go vs. C in embedded applications
Impossibly tight deadlines, unrealistic schedules, and constant pressure to develop and release applications on time, while at the same time achieving excellent quality. Sound familiar?
AI and nanotechnology are working together to solve real-world problems
AI and nanotechnology are often seen as science fiction. But together they are finding real-world applications.
How sharding a database can make it faster
Sharding was one of the first ways databases were distributed to improve performance. Recent innovations have made it one of the best.
Rewriting Bash scripts in Go using black box testing
When rewriting software in a new language, how do you test that your new and old programs do the same thing?
Stop aggregating away the signal in your data
By aggregating our data in an effort to simplify it, we lose the signal and the context we need to make sense of what we’re seeing.
Debugging best practices for REST API consumers
How you can debug the APIs that you consume but don't own.
Work estimates must account for friction
If your project estimates include eight hours of work per employee day, you're gonna have a bad time.
Metadata, not data, is what drags your database down
Databases today are built for Big Data. But what happens when the metadata is bigger?
The complete beginners guide to dynamic programming
Dynamic programming isn't about design patterns; it's a way of thinking that breaks down a problem into individual components.
Plan for tradeoffs: You can’t optimize all software quality attributes
An essential part of requirements analysis is understanding which quality characteristics are the most important so that designers can address them appropriately.
Favor real dependencies for unit testing
Which dependencies should be present in your code base? This article suggests an answer to that question.
