AI Engineer (full channel)
Every upload from the AI Engineer channel, tracked daily. The pool that curated collections split off from.
Event 8
Track 17
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101 ↑349
Judge the Judge: Building LLM Evaluators That Actually Work with GEPA — Mahmoud Mabrouk, Agenta AI
8.2K views 183 likes 8 comments
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102 ↑347
Cooking with Agents in VS Code — Liam Hampton, Microsoft
8.2K views 136 likes 8 comments
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103 ↑361
Everything You Need To Know About Agent Observability — Danny Gollapalli & Zubin Koticha, Raindrop
8K views 150 likes 7 comments
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104 ↑368
Run Frontier AI at Home — Alex Cheema, EXO Labs
7.6K views 137 likes 14 comments
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105 ↑370
Can LLMs generate Enterprise Quality Code? — Prasenjit Sarkar, Sonar
7.6K views 157 likes 25 comments
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106 ↑370
The Missing Primitive for Agent Swarms — Lou Bichard, Ona
7.6K views 147 likes 6 comments
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107 ↑374
Let LLMs Wander: Engineering RL Environments — Stefano Fiorucci
7.5K views 155 likes 2 comments
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108 ↑374
Benchmarking semantic code retrieval on Claude Code — Kuba Rogut, Turbopuffer
7.4K views 127 likes 9 comments
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109 ↑377
Your Agent's Biggest Lie: "I Searched the Web" — Rafael Levi, Bright Data
7.3K views 166 likes 7 comments
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110 ↑382
Reachy Mini: the $300 open source robot you can actually hack — Andres Marafioti, Hugging Face
7.2K views 158 likes 9 comments
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111 ↑382
$1 AI Guardrails: The Unreasonable Effectiveness of Finetuned ModernBERTs – Diego Carpintero
7.2K views 175 likes 8 comments
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112 ↑384
What if the network was the sandbox? — Remy Guercio, Tailscale
7.2K views 136 likes 10 comments
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113 ↑393
Why MLX — Prince Canuma, Neywa Labs
7K views 206 likes 8 comments
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114 ↑393
From MCP to Scale: Pipelines That Build Themselves — Rafael Levi, Bright Data
7K views 112 likes 10 comments
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115 ↑396
Accelerating AI on Edge — Chintan Parikh and Weiyi Wang, Google DeepMind
6.9K views 136 likes 8 comments
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116 ↑396
Why Your AI UX Is Broken (and It's Not the Model's Fault) — Mike Christensen, Ably
6.9K views 150 likes 9 comments
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117 ↑416
Building Conversational Agents — Thor Schaeff and Philipp Schmid, Google DeepMind
6.5K views 137 likes 2 comments
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118 ↑419
Give Your Agent a Computer — Nico Albanese, Vercel
6.5K views 120 likes 8 comments
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119 ↑423
FLUX, Open Research, and the Future of Visual AI — Stephen Batifol, Black Forest Labs
6.4K views 168 likes 7 comments
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120 ↑435
Human-in-the-Loop Automation with n8n — Liam McGarrigle
6.2K views 138 likes 4 comments
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121 ↑436
How Lovable self-improves every hour — Benjamin Verbeek, Lovable
6.2K views 145 likes 14 comments
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122 ↑442
How Google DeepMind Runs Agents at Scale — KP Sawhney & Ian Ballantyne, Google DeepMind
6.1K views 112 likes 4 comments
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123 ↑448
Why, and how you need to sandbox AI-Generated Code? — Harshil Agrawal, Cloudflare
6K views 127 likes 6 comments
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124 ↑457
How Transformers Finally Ate Vision – Isaac Robinson, Roboflow
5.9K views 179 likes 9 comments
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125 ↑457
Agents for Everything Else — swyx
5.9K views 96 likes 4 comments
