Hi! I'm Sage. Welcome to my software dev leadership Newsletter. Great for Startups and beyond. If you are reading this and hearing a 'fast, caffeinated, inner monologue' then this Summary is working as intended. I hope you will join me in digging too deep into Software Development and discovering forbidden knowledge.
Who is Sage?
Check out my profile at Sage Faraday. I am currently offering my services in software development consulting/contracting (think Fractional CTO or Full Stack Engineering as needed) as part of Rosenblatt AI. My highlights include working in Military Intelligence, at Fortune 500 companies, and Startups. Building software companies and products is my special interest.
Who is this Newsletter for?
Anyone in software development can benefit, as I will be sharing insights that have been directly relevant to real projects I've worked on in the past as well as heads up on new trends and tools.
It's also for me so I can remember that cool ML Model or software development pattern I saw the previous week... think of this as my second brain.
What is this?
I'll be 'brief' in introducing the point of this publication:
- Introduce you to various high impact individuals, publications, and tools
- To break down effective strategies for software leadership at Startups (and beyond)
- Add a little humor here and there to brighten your day
- Contribute to building things people actually use
When will it be published?
It will be published weekly. Time is wonky when you work next to a Singularity, but I promise it will be published by the end of the Week.
Where will it be published?
If you subscribe on LinkedIn, you should get a copy. Here's what LinkedIn has to say about subscribing/unsubscribing to Newsletters.
Why should I subscribe to this?
In all seriousness, I really like figuring out what truly works when it comes to building software development teams and companies. I want to build things people actually use. I started out in Software Engineering and got hooked on solving real world problems. This is my way of sharing what I discover, without a lot of the hype you may encounter elsewhere. If something REALLY works, I will share it. If something really DOESN'T work, I will change and be humble about sharing that change here too.
To be a scientist is to have belief in yourself but also celebrating evidence that proves you wrong - because that's what leads to growth. For example:
How will this be structured?
Starting out, it will be a bit of a grab bag. There may be really cool Machine Learning models one week, a really great way to address migrating a legacy system toward modernity the next. You might learn about what the Federal Trade Commission (FTC) has to say about AI companies, and updates to regulations (always consult your lawyer on big decisions). I may introduce you to a really cool guy like Dave Farley and his Continuous Delivery channel for example.
I will also try to share good jokes I find. I was going to tell a Sodium and Hydrogen pun, but... NaH.
In Conclusion
I hope you find this series useful! Feel free to comment or connect. I may agree or disagree with folks, but I won't blast anyone for having a different opinion. We're all on this learning journey together.