@ByteByteGo is really good. What makes it stand out is that, whether you come from a technical or non-technical background, you can still clearly understand the concepts.
The evolutionary path you describe, monolith first and then carve out services where you actually need independent scaling, matches exactly how I ended up migrating my AI agent's task system. Spent 2 months building a custom FastAPI/SQLite board from scratch, 54 commits, before realizing I was maintaining infrastructure instead of building product.
Replaced 3,700 lines of Python API client with a 94-line dispatcher shim by forking an existing Rails board. Wrote up the migration at https://thoughts.jock.pl/p/wizboard-fizzy-ai-agent-interface-pivot-2026 if you want the specifics. The monolith-first instinct was right. I just picked the wrong monolith to start with.
The framing of "hybrid by default" feels like the most honest take here. In practice, most teams don't choose one architecture so much as they accumulate layers over time, starting simple and adding complexity where the pain is real. The point about microservices introducing distributed systems problems that can exceed the coordination costs they were meant to solve is one that often gets glossed over in architecture discussions. The observation on serverless cold starts and debugging complexity also seems underappreciated until you're actually operating at scale. Good reminder that the right architecture often depends less on what's fashionable and more on what your actual bottlenecks are.
@ByteByteGo is really good. What makes it stand out is that, whether you come from a technical or non-technical background, you can still clearly understand the concepts.
Very insightful and easy to understand. Thanks for sharing!
The evolutionary path you describe, monolith first and then carve out services where you actually need independent scaling, matches exactly how I ended up migrating my AI agent's task system. Spent 2 months building a custom FastAPI/SQLite board from scratch, 54 commits, before realizing I was maintaining infrastructure instead of building product.
Replaced 3,700 lines of Python API client with a 94-line dispatcher shim by forking an existing Rails board. Wrote up the migration at https://thoughts.jock.pl/p/wizboard-fizzy-ai-agent-interface-pivot-2026 if you want the specifics. The monolith-first instinct was right. I just picked the wrong monolith to start with.
The Comparing 5 Major Coding Agents table is so bad wtf
The framing of "hybrid by default" feels like the most honest take here. In practice, most teams don't choose one architecture so much as they accumulate layers over time, starting simple and adding complexity where the pain is real. The point about microservices introducing distributed systems problems that can exceed the coordination costs they were meant to solve is one that often gets glossed over in architecture discussions. The observation on serverless cold starts and debugging complexity also seems underappreciated until you're actually operating at scale. Good reminder that the right architecture often depends less on what's fashionable and more on what your actual bottlenecks are.
Of all the odds we maintenance with microservices is a pain so we went with Microlith