Kimsia
@kimsia
Kimsia
Coding with AI takes (and enables) more discipline.
I need more tests, more checks and constraints. This takes more scaffolding, which is now fast to create.
More “how will I know this works?” and less “how will I implement this?”
I need to learn how to influence the AI, and channel frustration into guidance.
More high-level thinking about what the... See more
I need more tests, more checks and constraints. This takes more scaffolding, which is now fast to create.
More “how will I know this works?” and less “how will I implement this?”
I need to learn how to influence the AI, and channel frustration into guidance.
More high-level thinking about what the... See more
Jessitron • Augmented Coding: an Experience Report
So much of self-regulation comes down to 2 interrelated powers: 1) keeping yourself inspired, and 2) keeping yourself accountable.
Recognizing in a felt way that “this is worth doing”, and that “I’m responsible for doing it.”
Dr. Gena Gorlinsubstack.comIn 2024, something shifted: AI-native apps started taking off. And we realized that our architecture was uniquely well-suited to power them. We leaned into agent-focused development, and within a few months, over 80% of databases were being created by AI agents rather than humans.
Neon and Databricks - Neon
age-of-agents and agentic
This point follows from the previous two: Architecture not only imbues systems with qualities, but does so in a predictable way.
Rick Kazman • Software Architecture in Practice, 4th Edition
the two earlier points are: 1) a system ability to meet desired or required quality attributes is mostly determined by its architecture 2) the ease of makcing chnages (modifiability) is a quality attrbute
Data engineering is a difficult role to break into.
There are WAY TOO MANY tools, solutions and skills that DEs are expected to know.
You don't have to learn everything all at once.
But if you are looking to read on some data engineering topics, here are 7 great... See more
SeattleDataGuysubstack.com
Use this as way to connect ideas across conversations, conversations across projects
once the architecture has been agreed upon, it becomes very costly—for managerial and business reasons—to significantly modify it. This is one argument (among many) for analyzing the software architecture for a large system before settling on a specific choice.
Paul Clements • Software Architecture in Practice, 4th Edition
influences on organizational structure
