Riccardo Tartaglia @argonautadev

Founder @ https://t.co/GnGDYALlfV / Tech Lead / Problem Solver / Make stuff on web since 2006 artiforge.ai Italia Joined October 2009

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Riccardo Tartaglia @argonautadev

17 hours ago

I momentarily looked away and: - Claude Sonnet 4.5 has been introduced - ChatGPT is launching a shopping feature - Lovable now supports integrated databases and infrastructure solutions. #AINews #TechUpdates

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Riccardo Tartaglia @argonautadev

22 hours ago

90% of Dropbox engineers use AI tools weekly. They ship 20% more PRs and reduce failure rate. But adoption ≠ impact. You need the right metrics. Track both: - AI usage (who, where, how much) - Core engineering metrics (speed, quality, maintainability) Combine system…

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Riccardo Tartaglia @argonautadev

2 days ago

90% of Dropbox engineers now use AI tools weekly. But they don’t measure success by adoption alone. Key metrics they track: - PR throughput ↑ 20% - Change failure rate ↓ - Time saved per engineer - Dev experience scores Adoption isn’t impact. What are you measuring?…

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Riccardo Tartaglia @argonautadev

4 days ago

AI won’t magically improve your developer team’s productivity. Start with the basics. Track what already matters: - PR throughput - Change failure rate - Code maintainability - Developer satisfaction Then layer AI-specific metrics: - Time saved per dev - AI adoption by…

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Riccardo Tartaglia @argonautadev

5 days ago

90% of Dropbox engineers use AI tools each week. Why? Because they track both adoption AND impact: - PR throughput +20% - Change failure rate down - Weekly time saved per engineer - AI tool satisfaction measured Not guessing. Measuring. Are you tracking AI’s impact—or hoping…

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Riccardo Tartaglia @argonautadev

6 days ago

90% of Dropbox engineers use AI tools weekly. Why? Because they built AI measurement into their dev workflows from day one. Here’s what they track: - PR throughput (+20% for AI users) - Change failure rate - Time saved per engineer - AI spend - Dev satisfaction Surface-level…

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Riccardo Tartaglia @argonautadev

7 days ago

AI dev tools grew 300% YoY (Gartner, 2024). But most teams still hand-wire LLMs, plugins, and agents into their stack. High effort, high debt. Artiforge is building a native agentic framework using the Model Context Protocol (MCP): - Works with any LLM (Claude, GPT-4,…

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Riccardo Tartaglia @argonautadev

a week ago

GPT5 when it needs to call an MCP tool 🤦

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Riccardo Tartaglia @argonautadev

a week ago

when you don't use Artiforge.ai

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Riccardo Tartaglia @argonautadev

a week ago

AI dev workflows are still messy. Too many tools. Too many integrations. No shared protocols. Artiforge is building a modular, MCP-native framework to embed AI agents directly into your IDE. Built for: - Freelancers and startups - Enterprise teams Beta launch → Q4 2025…

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Riccardo Tartaglia @argonautadev

a week ago

when your LLM don't use artiforge.ai for doing a task

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Riccardo Tartaglia @argonautadev

a week ago

I've 5 invites for @comet Leave a comment if you want one

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Riccardo Tartaglia @argonautadev

a week ago

New feature out! Now with artiforge.ai you can create a agents.md docs with a simple prompt. request beta access in our discord server: discord.gg/Hs5w3rhE8c #ai #StartNow #developer #startupstory

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Riccardo Tartaglia @argonautadev

a week ago

AI isn't replacing devs. It's becoming part of the team. But most developer workflows still treat AI integration like duct tape: manual, fragile, incomplete. That’s the gap Artiforge is solving: - Modular, MCP-native agentic framework - Compatible with any LLM (GPT-4,…

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Riccardo Tartaglia @argonautadev

2 weeks ago

AI agents are reshaping software dev. But most devs still build with fragmented tools, manual orchestration, and hidden costs. Why? Because there's no agentic dev standard—yet. Artiforge is fixing that: - MCP-native framework - Plug AI into dev workflows - Compatible with any…

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Riccardo Tartaglia @argonautadev

2 weeks ago

my tech stack for Artiforge: Number of service: 4 Backend: NodeJS with NestJS Frontend: React and Vite Deploy: Coolify VPS: Hetzner ...and yours?

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Riccardo Tartaglia @argonautadev

2 weeks ago

AI-generated code speeds things up. But it comes with risks: – Security bugs from weak input handling – Debugging black-box outputs – Unrealistic deadlines due to overconfidence – Design bloat from flashy but useless features Mitigation starts with process, not tools.…

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Riccardo Tartaglia @argonautadev

2 weeks ago

AI dev tools are growing 300% YoY (Gartner 2024). But most developers still connect agents, plugins, and LLMs manually. Artiforge is building a native agentic dev framework: - MCP-compatible with any LLM (GPT-4, Claude, OSS) - Auto-detects tools in your IDE (VS Code, Cursor) -…

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Riccardo Tartaglia @argonautadev

2 weeks ago

AI coding saves time, but at what cost? Top risks when using AI-generated code: • Security holes (SQL injection, unsafe inputs) • Hard-to-maintain code • Debugging becomes guesswork • Overestimated velocity • Budget overruns from unplanned rework Mitigate them…

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Riccardo Tartaglia @argonautadev

3 weeks ago

AI frameworks are broken. Developers waste hours integrating each LLM and tool manually. Artiforge changes this with MCP-native agents. One framework. Any LLM. Auto-detection of dev tools. The future of coding is here.