In 2021, OpenAI's Codex paper showed us a glimpse of what was possible when AI could understand and generate code. Back then, we were impressed when an AI could complete a simple function.
Fast forward to 2025 -> the transformation is remarkable ๐
This NFL seasonโฆ survival gets REAL ๐
$2.5M on the line. One winner takes it ALL.
Enter The Big Splash now ๐โฌ๏ธ
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Iโve seen hundreds of AI development workflows.
Palmerโs is the best one (in my opinion).
He spent more than an hour with me walking through all the details of how he does it.
(Link in first reply)
Different tools for different jobs:
Vibe coding: MVPs, marketing sites, internal tools
Traditional: Financial systems, IoT, regulated industries
What's your experience with AI coding tools? Has it changed your workflow?
New data on AI "vibe coding" vs traditional development shows fascinating productivity trends. Teams using AI coding tools ship prototypes 3.2x faster! But there's an important nuance in the long-term picture... ๐งต
The sweet spot? Using AI as a pair programmer. Developers report 35% higher productivity when AI handles repetitive tasks while humans focus on architecture, UX, and business logic.
This wasn't just another tech demo - it was a paradigm shift in how we view productivity, innovation, and the future of work at Splash Sports.
Who else has experimented with putting their management team in the creator's seat? The insights we gained were invaluable!
LFG.
Our executive team just had our minds collectively blown! We dedicated a few hours to flip the script - turning our managers into MAKERS with hands-on GenAI experience.
The results? Absolutely GAME-CHANGING! ๐ฅ
Watching our leadership team directly harness the power of Generative AI tools transformed how we see the technology's potential for our company's growth trajectory.
What's fascinating to me about this evolution isn't just the technical improvements. It's how development workflows, team structures, and even hiring practices have adapted alongside the technology.
In 2021, OpenAI's Codex paper showed us a glimpse of what was possible when AI could understand and generate code. Back then, we were impressed when an AI could complete a simple function.
Fast forward to 2025 -> the transformation is remarkable ๐
Regulatory frameworks and security protocols have matured, addressing earlier concerns about generated code quality and intellectual property. Perhaps most importantly, the skepticism that initially met these tools has largely dissipated as the ROI has become impossible to ignore