Can AI Really Feel Your Feelings Better?
AI can detect emotions and outperform humans on EQ tests, but it’s pattern recognition, not actual feeling. The key: get precise about what emotional support you want.
AI Delegation Is Slower Until It Actually Works
The uncomfortable truth about AI delegation – it’s slower at first, and treating it like a slightly overconfident junior dev is the only way it actually works.
Why AI Won’t Replace Developers (It’s Complicated)
Think AI will replace devs? Nah. The real question is how to build teams where humans and AI make each other better at the hard stuff that actually matters.
Stop Fighting About LLMs and Start Matching Models
Months of testing proves the “best” LLM doesn’t exist. Real skill is matching the right model to the task – and most people waste time arguing instead of learning.
Your Prompt Engineering Skills Matter More Than Your LLM
Testing different LLMs for coding taught me this: the model matters less than knowing how to break down problems and write specific prompts. Claude explains, GPT-5 generates, Copilot flows.
AI Code Fails in Production: Trust But Verify
I trusted AI code too easily until production failures taught me otherwise. Here’s how to catch the confident mistakes before they bite you.
AI Agents Work Best When Treated Like Humans
AI agent teams work better when you treat them like emotionally intelligent humans – understanding each agent’s strengths, managing their cognitive load, and letting them collaborate naturally.
Managing AI Agents Is Just Managing People
Managing people and orchestrating AI agents use the same core skills – just applied to code instead of conversations. Recognition becomes observation, pattern analysis becomes prediction, and conflict resolution becomes debugging.
Why AI Coding Assistants Need More Constraints
You’re using AI coding assistants wrong – they don’t need more freedom, they need better rails. 30 years of coding plus 8 years of AI work taught me why constraints beat creativity.
AI Coding Needs Rails Not Autonomy
AI coding isn’t about autonomy – it’s about constraints. After 30+ years coding, I’ve learned the real breakthrough is “agents on rails” with precise specs.
Your AI Instructions Are Sabotaging Your Code
After 30+ years coding, I’ve watched teams waste hours on AI that generates creative but wrong solutions. The AI isn’t broken – your instructions are missing.
AI’s Pattern Matching Trap Blocks Real Intelligence
We’re training autocomplete engines and calling it intelligence. The next breakthrough probably won’t come from bigger LLMs – it’ll abandon pattern matching entirely.
AI Agents Will Replace LLMs Within Years
After 30+ years coding and 8 years in AI, here’s my bet on what comes after LLMs: agents that don’t just respond but actually *do* things autonomously.
Why AI Projects Fail: Wrong Problem Size
Spent 30+ years coding, 8 with AI. The secret isn’t the tech – it’s breaking problems into chunks AI can actually handle. Most people fail because they dump entire projects on it.
AI Flipped Programming From Following Orders To Partnership
After 30 years of coding, I watched workflows evolve from rigid sequential tasks to adaptive AI systems that think, learn, and self-organize – flipping the human role entirely.
I Tested Every Coding Assistant For 300 Years
I tested every coding assistant for 30 years. Most are just fancy autocomplete. Roo Code is the first that actually gets it – runs locally, open-source, and keeps you in flow.
AI Finally Cracks Developer Collaboration After 30 Years
After 30 years of coding, I found the first assistant that actually collaborates instead of just guessing. Roo Code runs specialized agents that handle different dev tasks.
After 30 Years I Found My AI Teammate
After 30 years of coding, I found the first AI assistant that actually feels like a teammate. Roo Code thinks in specs first, uses different models for different tasks, runs locally for privacy, and works autonomously like a junior dev who never gets tired.
AI Finally Replaced My 30-Year Coding Workflow
After 30 years coding, I found an AI that actually understands my entire project, handles spec-to-deployment, runs locally, and acts like a real partner instead of fancy autocomplete.
AI Replaces Processes, Cuts Costs 30 Percent
30 years of coding taught me AI doesn’t speed up old processes—it replaces them. Companies see 30% lower costs and 90% fewer errors with agent workflows.
After Testing Every AI Coder Roo Won
After 30 years building software and testing every AI coding assistant, I found one that actually works: Roo Code. It thinks in modes, runs locally, understands full codebases.
AI Kills Jobs But Creates Instruction Givers
30 years of coding taught me AI isn’t just upgrading work – it’s making entire job categories obsolete. Your value now is giving instructions to machines, not following them.
Can AI Really Feel Your Pain?
AI can understand your emotions and respond appropriately, but it’s not actually feeling anything – just pattern-matching from millions of examples. This matters more than you think.
Why Your Expensive AI Tools Sit Unused
Smart teams buy expensive AI tools that end up collecting dust. The problem isn’t the technology – it’s that nobody wants to fight with it. Here’s how to build AI workflows people actually use.
Why Emotional Intelligence Beats Coding For AI Teams
Building AI agent teams isn’t about coding – it’s about managing dynamics. The same emotional intelligence that makes you good with people makes you exceptional at orchestrating agents through “vibe coding.”
5 Skills To Master AI Coding Teammates
After 30 years of coding, I learned AI works best when you treat it like a junior developer. Here are 5 skills that changed how I work with AI teammates.
Choosing The Right LLM Changes Everything
After decades of coding and building AI solutions, I learned that picking the right LLM isn’t about finding “the best one” – it’s about matching each tool to the right job and knowing how to use them properly.
Why Do AI Coding Assistants Mislead Developers?
You know that feeling when someone gives you directions with total confidence – and you end up at a dead end? That’s AI coding assistants in a nutshell.
When To Tweak Versus Restart AI Prompts
After years of AI prompting, I’ve figured out the key question: when do you keep tweaking versus starting over? Here’s my framework for knowing which approach works.
After 30 Years Coding I Cracked AI
After 30 years of coding, I learned the secret to getting useful work from AI: break problems into small chunks instead of dumping everything into one prompt.
Recent Comments