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Making AI-First Engineering Teams Successful, With Andy LaMora
Long before generative AI agents were writing code, platforms like Topcoder were using crowdsourcing to solve massive technical problems. It turns out that breaking down complex projects for a distributed network of human developers was the perfect training ground for how we interact with AI today.
In this episode, Ben Griswold (Grizen) and Noah Heldman (OutcomeSource) welcome technology executive Andy LaMora to discuss the fascinating overlap between crowdsourced engineering and modern AI tools. Andy shares his insights on applying Daniel Kahneman's concepts of "fast and slow thinking" to software development, explaining why AI handles the fast, repeatable expertise while humans must retain the slow, deliberative problem-solving.
The conversation explores how AI is actively changing the Software Development Life Cycle, the growing importance of building solid component catalogs, and a staggering real-world example of using Claude to build a fully compliant AWS banking infrastructure in just one month. Andy also shares his take on the Cursor versus Claude Code debate and answers the standard Five Questions, including a great story about stepping off the corporate ladder to ride a motorcycle across the country.
In This Episode, You'll Learn:
- How early crowdsourcing models set the blueprint for working with modern AI agents.
- The application of "fast and slow thinking" to prompt engineering and system design.
- Why the classic software development life cycle is evolving to favor small product engineering teams.
- The story of building a fully functioning, regulated bank infrastructure on AWS in 30 days using spec-based coding.
- A practical comparison of Cursor and Claude Code for different types of consulting and development workflows.
- The Five Questions: Why we need to ban the word "paradigm," the undeniable productivity boost of walking your dog, and the value of taking an unconventional career break.
Connect with Us:
- Ben Griswold | Grizen: https://grizen.com
- Noah Heldman | OutcomeSource: https://outcomesource.com
- Andy LaMora on LinkedIn: https://www.linkedin.com/in/andylamora
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By Ben Griswold and Noah HeldmanLong before generative AI agents were writing code, platforms like Topcoder were using crowdsourcing to solve massive technical problems. It turns out that breaking down complex projects for a distributed network of human developers was the perfect training ground for how we interact with AI today.
In this episode, Ben Griswold (Grizen) and Noah Heldman (OutcomeSource) welcome technology executive Andy LaMora to discuss the fascinating overlap between crowdsourced engineering and modern AI tools. Andy shares his insights on applying Daniel Kahneman's concepts of "fast and slow thinking" to software development, explaining why AI handles the fast, repeatable expertise while humans must retain the slow, deliberative problem-solving.
The conversation explores how AI is actively changing the Software Development Life Cycle, the growing importance of building solid component catalogs, and a staggering real-world example of using Claude to build a fully compliant AWS banking infrastructure in just one month. Andy also shares his take on the Cursor versus Claude Code debate and answers the standard Five Questions, including a great story about stepping off the corporate ladder to ride a motorcycle across the country.
In This Episode, You'll Learn:
- How early crowdsourcing models set the blueprint for working with modern AI agents.
- The application of "fast and slow thinking" to prompt engineering and system design.
- Why the classic software development life cycle is evolving to favor small product engineering teams.
- The story of building a fully functioning, regulated bank infrastructure on AWS in 30 days using spec-based coding.
- A practical comparison of Cursor and Claude Code for different types of consulting and development workflows.
- The Five Questions: Why we need to ban the word "paradigm," the undeniable productivity boost of walking your dog, and the value of taking an unconventional career break.
Connect with Us:
- Ben Griswold | Grizen: https://grizen.com
- Noah Heldman | OutcomeSource: https://outcomesource.com
- Andy LaMora on LinkedIn: https://www.linkedin.com/in/andylamora