Most developers use AI assistants the same way they use a search engine: ask, get an answer, move on. That habit is costing them the most valuable thing AI can actually do. The real power isn’t in generation — it’s in conversations that build understanding before you write a single line of code. Topics covered:
5 AI Conversation Patterns Every Developer Should Know Read More »
Storing time series data in PostgreSQL or another relational database feels obvious – until the table hits 50 million rows and your queries take 15 seconds. The problem isn’t your schema or your indexes. You’re using the wrong tool. Time series databases are built especially for this usage pattern. We cover: If you’re manually partitioning
Fix Your Slow Time Based Queries Read More »
Code is a communication medium for two radically different audiences — the machine and the developer. In the age of LLMs, the machine-facing part is being commoditized. What remains?This video is a live commentary on Unmesh Joshi’s article “What Is Code?” published on Martin Fowler’s blog. Topics covered:
Reframing Code for the Age of LLM Assistants Read More »
AI coding assistants misunderstand your architecture — not because they’re buggy, but because architectural intent was never visible in the code to begin with.In this video I read through and comment on Ian Bull’s article “Sinks, Not Pipes: Software Architecture in the Age of AI”, adding my own perspective from my work on usable software
Why AI Coding Assistants Misunderstand Your Architecture Read More »
Most developers are leaving a lot on the table with AI coding assistants — not because the tools aren’t good, but because of a few fixable mistakes I keep seeing in real teams.In this video I cover three common mistakes and how to avoid them: Plus a bonus fourth mistake: only using AI for code
3 AI Coding Assistant Mistakes I See in Real Teams — And What to Do Instead Read More »
Are LLMs a higher level of abstraction in software development?
Are LLMs a higher level of abstraction? Read More »
A recent post by Simon Wardley makes the point that the transition to AI will take a while because it requires practices to emerge and be accepted, to co-evolve with AI. Alex analyzes and comments this theory. Links:
Practices Coevolve with AI Read More »
Marshall McLuhan said the medium is the message — the tool you use changes how you think, regardless of what you produce with it. That’s exactly what’s happening with AI-assisted development, and most developers aren’t paying attention to it. In this video I explore ways conversational AI doesn’t just change what you produce — it
The Medium is the Message: What AI Really Does to How You Code Read More »
Evaluating the architecture of a system can be a very complicated process, with a lot of different possibilities for tools and techniques. In this video, we describe a mental model for evaluating architecture that helps us make sense and make the right decisions.
How to Evaluate Your Architecture Read More »
AI assistants lead to an increase of the level of abstraction. This leads to a renewal of software engineering.
AI Leads to Renewal of Software Engineering Read More »
