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Traditional design processes risk misalignment & wasted resources. Designers can get stuck chasing feedback loops instead of innovating. Collaborative methodologies & clear documentation streamline design, leading to focused questions & faster cycles. #UXDesign #Collaboration

Robots are now designed to work *with* humans, not against them. Built-in safety features mean less need for bulky barriers. A new era of collaboration? #robotics #automation

Companies as therapy? Some say deep-dive business analysis feels like a massive session, diagnosing every aspect through team communication and even a bit of healthy debate. #BusinessAnalysis #CompanyCulture

Fire Coders for AI, Then Scramble to Hire "Fixers" The tech world is dishing out some wild irony this year. Companies raced to swap out seasoned developers for AI-generated code, what some call "vibe coding", only to end up desperately recruiting specialists to mop up the fallout. Over 130,000 tech layoffs in 2025, hitting software engineers hardest. Microsoft bragged about 30% of their code coming from AI, then turned around and cut 6,000 jobs, mostly programmers. "Vibe Coding Cleanup Crew" Execs were toasting those AI "efficiency wins," but behind the scenes was a total mess. That "good enough" code was churning out bugs, glitches, and headaches faster than you can say "prompt engineering." Guys like Hamid Siddiqi saw it coming—he's been offering "vibe coding fixer" gigs on Fiverr since 2023. He's got 15-20 steady clients now, patching up wonky UI/UX, sluggish performance, and features that technically work but feel like they're held together with duct tape. The Real Price Tag of "Quick and Dirty" Code Turns out, chasing speed without real know-how piles on technical debt. Sounds familiar? It's the same old tale with outsourced cheap labor. When you try to shortcut good processes and people you end up spending more $$ - when finance just looks at the bottom line cost per person but not the downline holistic affect of a shit team, that's a problem. Studies show devs feel like AI boosts their speed by 20%, but when you account for all the debugging and upkeep? They're actually 19% slower overall. A lot of these "vibe coders" are product folks or sales types dipping their toes in—no deep roots in coding, so they miss the red flags that lead to long-haul issues. It goes back to my AI Competence mirage bias - makotokern-iiimpact.medium.com/the-ai-compete… This whole "democratize coding" push? It's delivering exactly what the pros predicted: -Codebases that turn into nightmare mazes to maintain -Bottlenecks that only pros can untangle at scale -Security holes AI glosses over but humans spot -Shaky foundations with problems that snowball big-time It's a wake-up call for how companies screw up when they: -Confuse tools with true skills—AI boosts what you already know, it doesn't invent expertise -Prioritize quick wins over solid work—those shortcuts rack up massive bills later -Dismiss the wisdom of veterans—senior devs get the big picture, not just the lines of code -Buy into the myth that "anyone can code"—prompts are no sub for years of grinding it out A Heads-Up for Leaders Before you ditch your team for the latest AI hype, pause and think: -Who's vetting that AI output for sneaky vulnerabilities? -Who's tuning it for real-world scale without crashing? -Who's steering the architecture to dodge debt down the road? The priciest code or design isn't the stuff that takes time upfront, it's the junk that needs endless fixes, opens doors to hacks, and grinds everything to a halt. AI's for amplifying expertise, not erasing it. Those who figure it out will come out ahead when the cleanup tab hits.

Check out the trailer to our latest "Make an IIIMPACT" podcast episode - "The biggest mistakes teachers and schools are making with AI" The way we've educated our children for the last 20 years is now obsolete. The "AI divide" isn't just a buzzword; it's a crisis that is creating two classes of students: those prepared for an AI-augmented future and those being left behind. The methods that once worked are now a disservice, leaving students unprepared for a world where 85% of the jobs in 2035 haven't even been invented yet We bring in voices from the front lines: Scott Harden, a Pasadena Unified School Board member and IIIMPACT's own Product Innovation Strategist, and Dan Salas, a 26-year veteran teacher with 19 years in special education. They reveal the raw, unfiltered truth about the struggles and triumphs of AI integration in our schools. This episode is a must-watch for: School Administrators & Policymakers: Discover how to navigate the AI transition, avoid costly legal liabilities, and implement effective, district-wide AI strategies. Teachers & Educators: Learn how AI can save you up to 10 hours a week on administrative tasks, reduce burnout, and allow you to focus on what truly matters: your students. Parents: Understand the skills your children actually need for the future and how to advocate for them. Business Leaders & Innovators: See the future of learning and how to build the tools that will shape it. Full episode - youtu.be/u6SRk2JFJMk?si…

In a recent podcast on Ai Competence mirage, our AI Product Strategy and Integration team @ IIIMPACT, explores how the AI model ChatGPT and other LLM models can sometimes produce AI errors due to hallucination. It's crucial to understand these ai fails when relying on generative ai and other ai tools. SUBSCRIBE TO THE PODCAST ► @UCfV9ltRpRuggt56dVgZ3o9Q">youtube.com/@UCfV9ltRpRugg…

On our recent podcast called the AI competence mirage, our AI / Product strategy team @ IIIMPACT, explores how AI is rapidly evolving, touching upon the impact of generative AI and LLM models. Will AI automation lead to Elon Musk's predicted job displacement, or will it simply enhance productivity tools? The ongoing artificial intelligence revolution continues to affect the future of jobs. SUBSCRIBE TO THE PODCAST ► @UCfV9ltRpRuggt56dVgZ3o9Q">youtube.com/@UCfV9ltRpRugg…

I was thinking of hiring this person to manage my #bitcoin She's got great experience, what do you all think?

Our AI / Product strategy Integration team discusses the rapid pace of technological advancements often leads to significant AI hype, but is it warranted? Many companies are re-evaluating their business strategy to incorporate ai in business for increased business efficiency. Stay ahead of the curve by following the ai news and understanding which AI stocks are worth watching in the ever-evolving technology landscape. SUBSCRIBE TO THE PODCAST ► @UCfV9ltRpRuggt56dVgZ3o9Q">youtube.com/@UCfV9ltRpRugg…

Is your company truly ready for the age of artificial intelligence? Many businesses are investing in AI tools, but are they seeing real results? This episode explores how to move beyond surface-level implementations and build a real AI automation strategy for business, plus what the rise of GenAI means for the future. SUBSCRIBE TO THE PODCAST ► @UCfV9ltRpRuggt56dVgZ3o9Q">youtube.com/@UCfV9ltRpRugg…

Robots are now designed to work *with* humans, not against them. Built-in safety features mean less need for bulky barriers. A new era of collaboration? #robotics #automation

Companies as therapy? Some say deep-dive business analysis feels like a massive session, diagnosing every aspect through team communication and even a bit of healthy debate. #BusinessAnalysis #CompanyCulture

Fire Coders for AI, Then Scramble to Hire "Fixers" The tech world is dishing out some wild irony this year. Companies raced to swap out seasoned developers for AI-generated code, what some call "vibe coding", only to end up desperately recruiting specialists to mop up the fallout. Over 130,000 tech layoffs in 2025, hitting software engineers hardest. Microsoft bragged about 30% of their code coming from AI, then turned around and cut 6,000 jobs, mostly programmers. "Vibe Coding Cleanup Crew" Execs were toasting those AI "efficiency wins," but behind the scenes was a total mess. That "good enough" code was churning out bugs, glitches, and headaches faster than you can say "prompt engineering." Guys like Hamid Siddiqi saw it coming—he's been offering "vibe coding fixer" gigs on Fiverr since 2023. He's got 15-20 steady clients now, patching up wonky UI/UX, sluggish performance, and features that technically work but feel like they're held together with duct tape. The Real Price Tag of "Quick and Dirty" Code Turns out, chasing speed without real know-how piles on technical debt. Sounds familiar? It's the same old tale with outsourced cheap labor. When you try to shortcut good processes and people you end up spending more $$ - when finance just looks at the bottom line cost per person but not the downline holistic affect of a shit team, that's a problem. Studies show devs feel like AI boosts their speed by 20%, but when you account for all the debugging and upkeep? They're actually 19% slower overall. A lot of these "vibe coders" are product folks or sales types dipping their toes in—no deep roots in coding, so they miss the red flags that lead to long-haul issues. It goes back to my AI Competence mirage bias - makotokern-iiimpact.medium.com/the-ai-compete… This whole "democratize coding" push? It's delivering exactly what the pros predicted: -Codebases that turn into nightmare mazes to maintain -Bottlenecks that only pros can untangle at scale -Security holes AI glosses over but humans spot -Shaky foundations with problems that snowball big-time It's a wake-up call for how companies screw up when they: -Confuse tools with true skills—AI boosts what you already know, it doesn't invent expertise -Prioritize quick wins over solid work—those shortcuts rack up massive bills later -Dismiss the wisdom of veterans—senior devs get the big picture, not just the lines of code -Buy into the myth that "anyone can code"—prompts are no sub for years of grinding it out A Heads-Up for Leaders Before you ditch your team for the latest AI hype, pause and think: -Who's vetting that AI output for sneaky vulnerabilities? -Who's tuning it for real-world scale without crashing? -Who's steering the architecture to dodge debt down the road? The priciest code or design isn't the stuff that takes time upfront, it's the junk that needs endless fixes, opens doors to hacks, and grinds everything to a halt. AI's for amplifying expertise, not erasing it. Those who figure it out will come out ahead when the cleanup tab hits.

Check out the trailer to our latest "Make an IIIMPACT" podcast episode - "The biggest mistakes teachers and schools are making with AI" The way we've educated our children for the last 20 years is now obsolete. The "AI divide" isn't just a buzzword; it's a crisis that is creating two classes of students: those prepared for an AI-augmented future and those being left behind. The methods that once worked are now a disservice, leaving students unprepared for a world where 85% of the jobs in 2035 haven't even been invented yet We bring in voices from the front lines: Scott Harden, a Pasadena Unified School Board member and IIIMPACT's own Product Innovation Strategist, and Dan Salas, a 26-year veteran teacher with 19 years in special education. They reveal the raw, unfiltered truth about the struggles and triumphs of AI integration in our schools. This episode is a must-watch for: School Administrators & Policymakers: Discover how to navigate the AI transition, avoid costly legal liabilities, and implement effective, district-wide AI strategies. Teachers & Educators: Learn how AI can save you up to 10 hours a week on administrative tasks, reduce burnout, and allow you to focus on what truly matters: your students. Parents: Understand the skills your children actually need for the future and how to advocate for them. Business Leaders & Innovators: See the future of learning and how to build the tools that will shape it. Full episode - youtu.be/u6SRk2JFJMk?si…

In a recent podcast on Ai Competence mirage, our AI Product Strategy and Integration team @ IIIMPACT, explores how the AI model ChatGPT and other LLM models can sometimes produce AI errors due to hallucination. It's crucial to understand these ai fails when relying on generative ai and other ai tools. SUBSCRIBE TO THE PODCAST ► @UCfV9ltRpRuggt56dVgZ3o9Q">youtube.com/@UCfV9ltRpRugg…

On our recent podcast called the AI competence mirage, our AI / Product strategy team @ IIIMPACT, explores how AI is rapidly evolving, touching upon the impact of generative AI and LLM models. Will AI automation lead to Elon Musk's predicted job displacement, or will it simply enhance productivity tools? The ongoing artificial intelligence revolution continues to affect the future of jobs. SUBSCRIBE TO THE PODCAST ► @UCfV9ltRpRuggt56dVgZ3o9Q">youtube.com/@UCfV9ltRpRugg…

I was thinking of hiring this person to manage my #bitcoin She's got great experience, what do you all think?

Our AI / Product strategy Integration team discusses the rapid pace of technological advancements often leads to significant AI hype, but is it warranted? Many companies are re-evaluating their business strategy to incorporate ai in business for increased business efficiency. Stay ahead of the curve by following the ai news and understanding which AI stocks are worth watching in the ever-evolving technology landscape. SUBSCRIBE TO THE PODCAST ► @UCfV9ltRpRuggt56dVgZ3o9Q">youtube.com/@UCfV9ltRpRugg…

Is your company truly ready for the age of artificial intelligence? Many businesses are investing in AI tools, but are they seeing real results? This episode explores how to move beyond surface-level implementations and build a real AI automation strategy for business, plus what the rise of GenAI means for the future. SUBSCRIBE TO THE PODCAST ► @UCfV9ltRpRuggt56dVgZ3o9Q">youtube.com/@UCfV9ltRpRugg…

Traditional design processes risk misalignment & wasted resources. Designers can get stuck chasing feedback loops instead of innovating. Collaborative methodologies & clear documentation streamline design, leading to focused questions & faster cycles. #UXDesign #Collaboration