Announcing CodeLiftSleep's Architecture Lab, a YouTube Channel dedicated to helping developers leveling up their architecture and fitness.
The body doesn't operate in a vacuum, and I am a firm believer that to be your best mentally, you need to be at your best physically as well.
Every episode will contain Software Architecture topics as well as an evidence-based Fitness tip to support you physically on your journey as well.
The first episode in The Modern Architect's Career Playbook Series is "You're Already an Architect".
Check it out and let me know what you think: https://t.co/7RqSayu2rt
@ManningBooks@ManningMEAP
#SoftwareArchitecture #SystemDesign #Fitness
There are a lot of people who think AI is going to save them.
But I think for a bigger group, AI is going to expose their lack of fundamental software architecture knowledge, since that is needed to use AI to it's fullest capability.
@c_a_dunlop It's really opened my eyes up to the technial side of things and how much goes into it that you never consider.
I guess similar to people who are writing code as a hobby versus doing it professionally tho π€£
Got a special update today...
Chapters 6 AND 7 of Grokking Software Architecture just dropped in MEAP!
These cover "Reliable API Design: Public Contracts and Synchronous Communication" and "Event-Driven Architecture (EDA): Temporal Decoupling and Asynchronous Communication".
You can check it out here: https://t.co/0nMcIA2h4I
@ManningMEAP@ManningBooks
I guess the word is starting to get out π
If you are looking to go from writing code through the lens of "How can I make this work?" to "How can I design this to last while being aligned with the overall application itself?", I might be a little bias, but this would be the book you want to read.
I've been doing this a long time and have seen things too many different views. This is the book I wish I had 20 years ago to learn from.
I didn't, but thankfully you do now. π
https://t.co/0nMcIA2h4I
@ManningMEAP@ManningBooks
Most AI/ML books are only useful if they change how you build.
Grokking Software Architecture is useful because it maps the topic to engineering work you actually have to operate.
The book covers:
β’ Deploy and scale beyond a demo
β’ Work from practical Python examples
β’ Understand the core system design choices
β’ Map the topic to real engineering workflows
β’ Avoid common production failure modes
β’ Build a stronger implementation plan
The production angle is the part I would pay attention to.
The demo is the easy part. The useful engineering work is making the system reliable once it touches real workflows.
Good fit for engineers building real AI systems and wanting a stronger mental model than another clean demo.
Link in the first comment.
Thanks for the shout out!
I wrote this book to help developers go from thinking in terms of "How do I get this to work?" to thinking in terms of "How can I design this to last".
It not only contains all examples in Python, but also in C#, Java and JavaScript to show the concepts are truly language agnostic.
I can't stop watching this video and I wrote the chapter! π
But seriously, this is an amazing summation of Chapter 1.
For anyone who is interested in checking the book out, you can find it here. Still in MEAP, Chapter 5 just dropped!
https://t.co/10cwiBTkqF
If you're making technical decisions that shape a system, you're already doing software architecture.
The difference is whether you're doing it intentionally.
In Grokking Software Architecture, @codeliftsleep gives developers the vocabulary, frameworks, and thinking process needed to make better long-term technical decisions.
Watch the First Chapter Summary: https://t.co/z8tejnhusJ
@snarkboss@auren Considering researchers consistently show the brain is only capable of intense cognitive loads for about 3-4 hours a day, you are essentially saying that people at NVIDIA are doing significantly sub-standard work for a large percentage of their day by definition.
I would suggest you don't understand that the brain can only sustain an intense cognitive load for so long before it "taps out". Researchers have found this is about 3-4 hours a day.
So while you may think you would somehow "be way more productive" working more, your brain would essentially just shut off.
Anyone who claims otherwise is not living in reality.
@ManningBooks Gotta make sure you stay accountable as you allow AI to write code.
Be the driver, not the passenger scrolling on their phone who eventualy looks up and has no idea how they got so far off course! π