Community Spotlights • Issue #13

Community Spotlights • Issue #13

Issue #13 · Week of January 12

Joe Heitzeberg • Founder at AI Tinkerers • ⏱️ 1 min read

Creating space for leading builders to share ideas, grow, and make an impact.

We pulled these demos from the last two weeks of AI Tinkerers meetups. This one’s shorter than usual due to the holiday slowdown, but the quality stayed high. Builders in Eindhoven and Tel Aviv pushed Agentic AI into complex, verifiable workflows. Omri Levy (Tel Aviv) demonstrated Giving Agents Eyes & Hands, using sandboxed execution and visual proof to enforce product specs. Nimo Beeren (Eindhoven) showed how collaboration in Strands Solver extends developer reach into NP-complete algorithmic complexity. Enjoy!

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Spec Reviewer: Browser UI Validation Omri Levy Software Developer at Baz 📍 AI Tinkerers - Tel Aviv • Dec 23 Cooking Read more → TECH STACK LangChainLangGraphAWS AgentCorePlaywrightFigma PROJECT LINKS baz.co

Violex: Learning Violin with AI Mahdi Massahi MLE at Xebia 📍 AI Tinkerers - Eindhoven • Dec 22 Mahdi Massahi from Xebia presented Violex, a project that helps people learn violin by mapping sheet music to the instrument and delivering AI-powered feedback. The demo highlighted real-time audio analysis that tracks frequencies and note durations, plus performance recording and ML-based guidance. (people loved it) It showcases a practical, accessible AI education tool with clear potential as a scalable music-education product. For builders, it demonstrates a compact feedback loop you can adapt in other domains. Read more → TECH STACK GPT-4Claude 3Llama 2LangChainPyTorch PROJECT LINKS violex.app

Claude: Coding Agent Collaboration Nimo Beeren Senior AI Engineer at iO 📍 AI Tinkerers - Eindhoven • Dec 22 Nimo Beeren from iO presented Coding Agents Are Good at Algorithms, a Strands solver using an MRV backtracking heuristic and a Claude-powered coding agent to draft strategies. The demo pairs a search algorithm with autonomous code generation, showing collaboration that tackles complexity beyond solo coding. Audience feedback was positive (people loved it), and the approach hints at practical AI-assisted problem solving that could scale to other combinatorial tasks. Takeaway: AI-assisted problem solving can extend human capabilities on complex coding tasks. Read more → TECH STACK GPT-4Claude-3Llama-2LangChainPyTorch PROJECT LINKS github.com @nimobeeren

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