AIE Europe 2026
Talks from AIE Europe 2026, drafted from the AI Engineer channel's own playlists. Editorial metadata is best-effort parsed and under review.
Event 1
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101 —
Viktor: AI Coworker That Lives in Slack — Fryderyk Wiatrowski
8K views 98 likes 10 comments
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102 —
Why MCP and ChatGPT Apps Use Double Iframes — Frédéric Barthelet, Alpic
7.8K views 116 likes 8 comments
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103 —
Cooking with Agents in VS Code — Liam Hampton, Microsoft
7.7K views 131 likes 8 comments
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104 —
Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar
7.5K views 158 likes 25 comments
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105 —
Judge the Judge: Building LLM Evaluators That Actually Work with GEPA — Mahmoud Mabrouk, Agenta AI
7.4K views 166 likes 8 comments
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106 —
LLM Observability, Evaluation, Experimentation Platform — Dat Ngo, Arize
7.3K views 155 likes 2 comments
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107 —
Your Agent's Biggest Lie: "I Searched the Web" — Rafael Levi, Bright Data
7.2K views 166 likes 7 comments
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108 —
Benchmarking semantic code retrieval on Claude Code — Kuba Rogut, Turbopuffer
7.1K views 125 likes 9 comments
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109 —
Run Frontier AI at Home — Alex Cheema, EXO Labs
7.1K views 132 likes 16 comments
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110 —
The Missing Primitive for Agent Swarms — Lou Bichard, Ona
7K views 143 likes 6 comments
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111 —
$1 AI Guardrails: The Unreasonable Effectiveness of Finetuned ModernBERTs – Diego Carpentero
6.9K views 172 likes 8 comments
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112 —
What if the network was the sandbox? — Remy Guercio, Tailscale
6.9K views 135 likes 13 comments
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113 —
Everything You Need To Know About Agent Observability — Danny Gollapalli & Zubin Koticha, Raindrop
6.8K views 139 likes 7 comments
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114 —
Why Your AI UX Is Broken (and It's Not the Model's Fault) — Mike Christensen, Ably
6.8K views 150 likes 9 comments
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115 —
Agent Optimization with Pydantic AI: GEPA, Evals, Feedback Loops — Samuel Colvin, Pydantic
6.7K views 108 likes 3 comments
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116 —
From MCP to Scale: Pipelines That Build Themselves — Rafael Levi, Bright Data
6.7K views 112 likes 9 comments
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117 —
Accelerating AI on Edge — Chintan Parikh and Weiyi Wang, Google DeepMind
6.6K views 131 likes 8 comments
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118 —
Let LLMs Wander: Engineering RL Environments — Stefano Fiorucci
6.6K views 138 likes 2 comments
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119 —
Why MLX — Prince Canuma, Neywa Labs
6.4K views 195 likes 8 comments
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120 —
Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind
6.3K views 137 likes 2 comments
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121 —
Give Your Agent a Computer — Nico Albanese, Vercel
6.2K views 115 likes 8 comments
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122 —
Human-in-the-Loop Automation with n8n — Liam McGarrigle
6.1K views 137 likes 4 comments
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123 —
How Lovable self-improves every hour — Benjamin Verbeek, Lovable
6K views 141 likes 14 comments
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124 —
How Google DeepMind Runs Agents at Scale — KP Sawhney & Ian Ballantyne, Google DeepMind
6K views 109 likes 4 comments
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125 —
Self Driving Products: Product Signals to Pull Requests — Joshua Snyder, PostHog
5.9K views 135 likes 2 comments
