devmarco_

MODEL #MIXING (August 2025 update) 🚀

If you’re developing applications with the support of Agentic IDEs, you’ve probably asked yourself: *which models should I use?* and *what development flow actually makes sense?*

👉 There’s no single recipe.

What I’m sharing here comes from several practical tests and, in my view, represents one of the most effective strategies.

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Different Models, #Different #Jobs ⚙️

The #stack

* **#Claude Sonnet 4** → planning, specs, test design, long-term vision.
* **#Gemini 2.5 Pro** → fast scaffolding and refactoring with multimodality + extended context.
* **#OpenAI o3** → slower, precise verification on complex logic, edge cases, and audits.

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### Why this split 🎯

* **Separation of responsibilities** reduces hallucinations: break the cycle into → specs → implementation → verification.
* **Latency only where it matters:** fast drafts, deep reasoning only at critical points.

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### How I apply it in practice 🛠️

* **Claude Sonnet 4**: breaks down features → functions, classes, high-level architecture, edge cases.
* **Gemini 2.5 Pro**: implements according to the specs, integrates tests, iterates on errors.
* **o3-pro**: handles the most complex logical branches, identifies scalability issues, suggests fixes.

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💡 Personally, this approach reduces noise, speeds up first drafts, and improves release quality.

How are you using these models/IDEs?
I’d love to hear how you split planning, implementation, and verification 👇

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#AI #LLM #AIEngineering #LLMOps #SoftwareEngineering #MachineLearning #GenAI #Productivity #TechLeadership #Coding

5 months ago | [YT] | 0

devmarco_

🧠 Are we outsourcing our brains to AI?

A recent MIT study suggests that heavy reliance on tools like ChatGPT may be quietly eroding our critical thinking skills. EEG scans revealed that participants using AI showed up to a 47% drop in brain activity—and struggled to recall their own writing just minutes later.

That sounds like a recipe for cognitive debt.

But here’s the nuance: it’s not the tool itself that’s the problem. When we treat AI as a shortcut, we risk laziness and shallow thinking. When we treat it as a partner, it can actually enhance creativity, sharpen engagement, and amplify human potential.

The real challenge is not just “using AI,” but how we use it.
Are we coasting on convenience, or deliberately cultivating deeper thought?

As we move into a future intertwined with generative AI, this choice may shape our very cognitive evolution.

So—what do you think?
👉 Is AI making us smarter, or simply making it easier not to think?

#AI #ChatGPT #CriticalThinking #CognitiveScience #Innovation #Creativity #FutureOfWork #TechTrends

5 months ago | [YT] | 0

devmarco_

Is "Macro Hard" the next big thing, or just another quirky Elon Musk venture?

Autism Capital recently dropped a trademark bombshell that has tech enthusiasts buzzing. With Musk declaring the project "inevitable," it’s hard not to speculate on what’s brewing behind the scenes.

Could this be an ambitious play to rival Microsoft? If so, we might need to brace ourselves for a new era of AI agents that redefine our interaction with technology.

Scrolling endlessly through updates might soon be a thing of the past. Instead, we could be engaging with smarter, more intuitive agents that anticipate our needs before we even voice them.

As we venture further into this AI frontier, let’s keep our eyes peeled for what’s next. After all, in the world of Musk, the only constant is change (and maybe a dash of unpredictability).

So, what do you think? Will "Macro Hard" live up to the hype, or will it be another chapter in the book of eccentric tech dreams?

#ElonMusk #AI #Innovation #TechTrends #MacroHard #XAI #FutureOfWork

5 months ago | [YT] | 0