
Why 99% of AI agents fail in production (and how to fix it) | The Agent Factory
Agents CLI in Agent Platform → https://goo.gle/3OAExQF
ADK.dev → https://goo.gle/4mVq8LI
Developer’s guide to building ADK agents with skills → https://goo.gle/41XMB0T
Build ADK agents with Google MCPs → https://goo.gle/4e98xxu
In this episode of The Agent Factory, we sit down with Shubham Saboo, Senior AI Product Manager at Google and the creator behind the viral "Awesome LLM Apps" repository (105K+ stars), to bridge the gap between AI hype and reality. You’ll learn why the most successful agents aren't built on complex code, but on clear communication and simple architectures.
Watch as Shubham demos the brand new Agents CLI in Agent Platform and showcase everything new in ADK. Learn how to scaffold, test, and deploy an agent directly from your terminal using simple English prompts. From building a "caveman" text compressor to a sophisticated multi-agent system that roasts GitHub Pull Requests, you’ll see firsthand how Google’s new agent platform handles the heavy lifting of environment config, YAML files, and cloud deployment.
By the end of this video, you’ll walk away with a blueprint for building "ambient agents" that run 24/7, handle drop connections with "resumable" flags, and interact with the world via Google Search tools. Whether you're a hardcore developer or a technical founder, you'll see how to treat AI agents like interns to get the best possible output.
Chapters:
0:00 - Introduction: Meet Shubham Saboo
1:54 - The story behind 105,000 GitHub stars
4:52 - How AI agents evolved from GPT-3 to now
8:14 - What is Google’s New Agent CLI?
10:06 - Demo: Building the "Caveman Compressor" agent
17:45 - How to run AI evaluations (Evals) automatically
19:52 - Adding Google Search tools to your agent
23:20 - Demo: Building a Multi-Agent PR Roaster
26:45 - Live Roast: AI Agent roasts my code
30:14 - New in ADK: Graph-based workflows vs. Prompts
33:28 - Resumable Agents: Surviving production reality
34:40 - Ambient Agents: Building agents that run 24/7
36:32 - ADK Multi-language support (Python, TS, Go, Java)
43:35 - Why soft skills are the new technical requirement
45:54 - Rapid Fire: Is RAG dead?
48:04 - Why every developer needs to understand embeddings
51:35 - The one AI tool Shubham can't live without
More resources:
5 Agent skill design patterns every ADK developer should know → https://goo.gle/4sV4PuS
Awesome LLM apps repo → https://goo.gle/3OJOf31
Speakers on YouTube: @shubhamexplainsai , @SmithaKolan
Shubham Saboo socials:
X → https://goo.gle/3P13tAT
LinkedIn → https://goo.gle/48nmtAh
Smitha Kolan socials:
YouTube → https://goo.gle/4mKXkVS
X → https://goo.gle/4d4Aa9J
LinkedIn → https://goo.gle/4twKYn1
Watch more of The Agent Factory → https://www.youtube.com/watch?v=qBOvM7SiDa4&list=PLIivdWyY5sqLXR1eSkiM5bE6pFlXC-OSs
? Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Smitha Kolan, Shubham Saboo
Products Mentioned: Gemini, Gemini CLI, Agent CLI, Agent Development Kit, Agent Engine, Agent Platform, Google Cloud Storage, Google Search Tool, GitHub, Streamlit, Open Claw/Open Crew, Nano Banana, Gemini Flash Image Model, Python, TypeScript, Go, Java, Vector Databases
ADK.dev → https://goo.gle/4mVq8LI
Developer’s guide to building ADK agents with skills → https://goo.gle/41XMB0T
Build ADK agents with Google MCPs → https://goo.gle/4e98xxu
In this episode of The Agent Factory, we sit down with Shubham Saboo, Senior AI Product Manager at Google and the creator behind the viral "Awesome LLM Apps" repository (105K+ stars), to bridge the gap between AI hype and reality. You’ll learn why the most successful agents aren't built on complex code, but on clear communication and simple architectures.
Watch as Shubham demos the brand new Agents CLI in Agent Platform and showcase everything new in ADK. Learn how to scaffold, test, and deploy an agent directly from your terminal using simple English prompts. From building a "caveman" text compressor to a sophisticated multi-agent system that roasts GitHub Pull Requests, you’ll see firsthand how Google’s new agent platform handles the heavy lifting of environment config, YAML files, and cloud deployment.
By the end of this video, you’ll walk away with a blueprint for building "ambient agents" that run 24/7, handle drop connections with "resumable" flags, and interact with the world via Google Search tools. Whether you're a hardcore developer or a technical founder, you'll see how to treat AI agents like interns to get the best possible output.
Chapters:
0:00 - Introduction: Meet Shubham Saboo
1:54 - The story behind 105,000 GitHub stars
4:52 - How AI agents evolved from GPT-3 to now
8:14 - What is Google’s New Agent CLI?
10:06 - Demo: Building the "Caveman Compressor" agent
17:45 - How to run AI evaluations (Evals) automatically
19:52 - Adding Google Search tools to your agent
23:20 - Demo: Building a Multi-Agent PR Roaster
26:45 - Live Roast: AI Agent roasts my code
30:14 - New in ADK: Graph-based workflows vs. Prompts
33:28 - Resumable Agents: Surviving production reality
34:40 - Ambient Agents: Building agents that run 24/7
36:32 - ADK Multi-language support (Python, TS, Go, Java)
43:35 - Why soft skills are the new technical requirement
45:54 - Rapid Fire: Is RAG dead?
48:04 - Why every developer needs to understand embeddings
51:35 - The one AI tool Shubham can't live without
More resources:
5 Agent skill design patterns every ADK developer should know → https://goo.gle/4sV4PuS
Awesome LLM apps repo → https://goo.gle/3OJOf31
Speakers on YouTube: @shubhamexplainsai , @SmithaKolan
Shubham Saboo socials:
X → https://goo.gle/3P13tAT
LinkedIn → https://goo.gle/48nmtAh
Smitha Kolan socials:
YouTube → https://goo.gle/4mKXkVS
X → https://goo.gle/4d4Aa9J
LinkedIn → https://goo.gle/4twKYn1
Watch more of The Agent Factory → https://www.youtube.com/watch?v=qBOvM7SiDa4&list=PLIivdWyY5sqLXR1eSkiM5bE6pFlXC-OSs
? Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Smitha Kolan, Shubham Saboo
Products Mentioned: Gemini, Gemini CLI, Agent CLI, Agent Development Kit, Agent Engine, Agent Platform, Google Cloud Storage, Google Search Tool, GitHub, Streamlit, Open Claw/Open Crew, Nano Banana, Gemini Flash Image Model, Python, TypeScript, Go, Java, Vector Databases
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