This week on Software Sundays, KD breaks down how a simple email compromise in a New Jersey school district led to millions in stolen taxpayer funds, a budget crisis, and new debt obligations for the community.

We also get into Elon Musk’s lawsuit against OpenAI, what it reveals about the fight for control of AI, and why developers need to understand who owns the models they depend on.

Then KD covers GitHub’s recent availability issues, including pull request and search problems, and what they teach us about third-party dependencies, platform risk, and engineering accountability.

In this episode’s Q&A, we cover how software engineers can market their services, how regression testing works, what to watch during organizational change, the difference between syntax and runtime errors, and why reading technical books can accelerate your growth.

We close with a mindset reminder: stop overthinking, start trying, and build a bias toward action.

Timestamps:

00:00 - Welcome and disclaimer

02:12 - New Jersey school district cyber attack

13:45 - OpenAI, Elon Musk, and AI governance

25:30 - GitHub outages and platform reliability

39:10 - Why developers need to understand real-world systems

43:02 - How to market your services as a software engineer

52:20 - How regression testing is performed

1:01:45 - What to watch during organizational change

1:12:30 - Runtime errors vs syntax errors

1:21:30 - Three benefits of reading technical books

1:37:40 - Build a bias toward action

1:47:10 - Birthday shoutouts and outro

#SoftwareSundays #CyberSecurity #AI #OpenAI #GitHub #SoftwareEngineering #TechEducation #RegressionTesting #OrganizationalChange #RuntimeErrors #SyntaxErrors #TechnicalBooks #BuildLearnImpact

DISCLAIMER: This is not professional advice. The views expressed are my own or those quoted. Consult your own legal, business, or tax advisors before making decisions based on this episode.

Build Learn Impact is on a mission to help you create wealth and opportunity through technology.

This week on Software Sundays, KD breaks down the shifting AI landscape and what it actually means for builders, engineers, and the future of opportunity.

We start with DeepSeek’s latest model and why it’s not competing with frontier models like OpenAI, Claude, or Gemini — but still winning in a completely different way. KD explains how open-source, low-cost models are changing distribution, accessibility, and how developers can experiment without burning through tokens.

Then we get into Anthropic’s Mythos model and the tension between innovation and national security. The U.S. Treasury wants access to one of the most powerful vulnerability-detection systems, while parts of the government still treat it as a supply chain risk. KD unpacks why limiting access to the best tools could actually increase risk.

We also cover the massive investments flowing into Anthropic from Google and Amazon, what “circular investment” really means, and how hyperscalers are positioning themselves to dominate the next phase of AI through infrastructure, not just applications.

In this episode’s Q&A, we cover how to take care of your health as a software engineer, the real difference between threads and processes, how to run effective meetings, how many environments your application should have, and what it truly means to be competitive in today’s tech market.

We close with a mindset reset on self-talk, mental health awareness, and the importance of building yourself while you build your career.

Timestamps:
00:00 - Welcome and disclaimer
02:10 - DeepSeek vs frontier models and why cost matters
10:45 - Distillation and why open-source models lag (and still win)
18:20 - Anthropic Mythos, cybersecurity, and government access
27:40 - AI risk: attackers vs defenders imbalance
34:15 - Google & Amazon invest billions into Anthropic
42:05 - Circular investments and AI infrastructure strategy
49:30 - Why developers benefit from cheaper tokens
25:10 - Q&A: Engineer health and avoiding burnout
28:15 - Threads vs processes explained simply
33:40 - How to run effective meetings
39:20 - How many environments you actually need
44:30 - What it means to be competitive in tech
50:10 - Mindset reset: self-talk and mental health
55:00 - Announcements and community updates

#SoftwareSundays #AI #DeepSeek #Anthropic #CyberSecurity #SoftwareEngineering #TechCareers #Leadership #AIInfrastructure #BuildLearnImpact #Developers #Startups

DISCLAIMER: This is not professional advice. The views expressed are my own or those quoted. Consult your own legal, business, or tax advisors before making decisions based on this episode.

Build Learn Impact is on a mission to help you create wealth and opportunity through technology.

This week on Software Sundays, KD breaks down major shifts shaping the future of technology, finance, and software engineering.

From the rise of new AI infrastructure players like Cerebras and what that means for NVIDIA, to Cursor’s $50B valuation and the real economics behind “vibe coding,” we explore where the market is actually headed—not just the hype.

We also dive into how crypto is entering the mortgage system, what that means for access to capital, and why increased financialization creates both opportunity and risk.

Finally, we answer key questions every builder should be thinking about:
- What secure coding actually means in practice
- The real challenges of working in large organizations
- How to evaluate job offers strategically
- Observability best practices
- How to decide between building vs buying

CHAPTERS:

00:00 – Intro + Mission
01:00 – Cerebras IPO & The AI Infrastructure War
08:30 – Cursor’s $50B Valuation & Vibe Coding
16:30 – Crypto Mortgages & Financialization Risk
25:00 – What Are Secure Coding Practices?
30:30 – Challenges in Large Organizations
36:00 – How to Evaluate a Job Offer
41:30 – Observability Best Practices
47:00 – Build vs Buy Decisions

DISCLAIMER: This is not professional advice. The views expressed are my own or those quoted. Consult your own legal, business, or tax advisors before making decisions based on this episode.

Build Learn Impact is on a mission to help you create wealth and opportunity through technology.