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_data/events.yaml

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- time: 2026-03-10 17:00:00
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title: "Context Engineering for Agentic Hybrid Applications"
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speakers: [ivanpotapov]
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type: webinar
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link: https://luma.com/4298mc3j
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- time: 2026-03-04 17:00:00
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title: "Stream Processing with PyFlink"
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speakers: [alexeygrigorev]

_people/tobiaslindenbauer.md

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short: tobiaslindenbauer
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title: "Tobias Lindenbauer"
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picture: "images/authors/tobiaslindenbauer.jpg"
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linkedin: tobias-lindenbauer
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​Tobias Lindenbauer is an AI researcher at JetBrains Research, where he advances efficient and effective code agents that robustly solve long-horizon software engineering tasks. Currently, he is most interested in efficiency topics, context management, interpretability and data synthesis. He recently presented “The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context Management” at the Deep Learning for Code workshop at NeurIPS 2025, highlighting practical pitfalls of LLM summarization-based context strategies and evidence for more computationally efficient alternatives.
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scripts/data/hashes.csv

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f4fe14846bfc0d5ca2072a14c2e792a6fd1dbea8,joshreini
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6d380d5faa0cbdad22c15472b4f2ea01e0ab774c,tobiaslindenbauer

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