Unlocking AI Powered DevOps Within Your Organization — Jon Peck, GitHub

AI Engineer · Beginner ·🛡️ AI Safety & Ethics ·10mo ago
Software development is a team sport, with many different roles, where eveyone can win. But success isn't guaranteed; it depends on specific practices, policies, and tools which enable minimally-siloed, AI-accelerated collaboration across all parts of the DevOps process, from PM to development to CI/CD and security. Discover the patterns and tools which lead to success, methods for changing the status quo, and perhaps a few horror stories. We'll touch on innersourcing, cloud development, AI, automation, governance, security, scaling and more -- with actionable learnings for everyone from small maintainer communities to F500 Enterprises. About Jon Peck An Enterprise Advocate (and occasional manager) at GitHub, Jon Peck meets daily with maintainers, startups, and F500 executives to familiarize them with industry best practices, policy suggestions, and product capabilities across DevOps and AI. With 25+ years of experience as a fullstack developer, architect, and advocate, he aims to to bring engaging, real-world learnings to both boardrooms and global conferences. - Speaker (conferences): Dev Exec World 2025, STARWEST 2024, InnerSource Summit 2023, GitHub Galaxy 2023, DevWeek Management 2023, Startup Grind 2022, GitHub InFocus 2022, DeveloperWeek 2018-20, SeattleJS, Global AI Conf 2018-19, AI Next 2019-20, MLOps World, Data Innovation Summit, Nordic APIs 2018-19 (keynote), ODSC East+West, API World, O'Reilly AI, OSCON - Speaker (tech schools): Galvanize, CodeFellows, Metis, Epicodus, Alchemy - Organizer: Seattle Building Intelligent Applications Meetup - Educator: Cascadia College, Seattle C&W, consultant - Lead Developer: Empower Engine, Giftstarter, Mass General Hospital, Cornell University - Technical Advocate: Algorithmia, GitHub Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from AI Engineer · AI Engineer · 0 of 60

← Previous Next →
1 AI Engineer Summit 2023 — DAY 1 Livestream
AI Engineer Summit 2023 — DAY 1 Livestream
AI Engineer
2 AI Engineer Summit 2023 — DAY 2 Livestream
AI Engineer Summit 2023 — DAY 2 Livestream
AI Engineer
3 Principles for Prompt Engineering - Karina Nguyen (Claude Instant @ Anthropic)
Principles for Prompt Engineering - Karina Nguyen (Claude Instant @ Anthropic)
AI Engineer
4 Announcing the AI Engineer Network: Benjamin Dunphy
Announcing the AI Engineer Network: Benjamin Dunphy
AI Engineer
5 The 1,000x AI Engineer: Swyx
The 1,000x AI Engineer: Swyx
AI Engineer
6 Building AI For All: Amjad Masad & Michele Catasta
Building AI For All: Amjad Masad & Michele Catasta
AI Engineer
7 The Age of the Agent: Flo Crivello
The Age of the Agent: Flo Crivello
AI Engineer
8 See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman
See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman
AI Engineer
9 Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase
Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase
AI Engineer
10 Pydantic is all you need: Jason Liu
Pydantic is all you need: Jason Liu
AI Engineer
11 Building Blocks for LLM Systems & Products: Eugene Yan
Building Blocks for LLM Systems & Products: Eugene Yan
AI Engineer
12 The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer
The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer
AI Engineer
13 Climbing the Ladder of Abstraction: Amelia Wattenberger
Climbing the Ladder of Abstraction: Amelia Wattenberger
AI Engineer
14 Supabase Vector: The Postgres Vector database: Paul Copplestone
Supabase Vector: The Postgres Vector database: Paul Copplestone
AI Engineer
15 [Workshop] AI Engineering 101
[Workshop] AI Engineering 101
AI Engineer
16 The Hidden Life of Embeddings: Linus Lee
The Hidden Life of Embeddings: Linus Lee
AI Engineer
17 [Workshop] AI Engineering 201: Inference
[Workshop] AI Engineering 201: Inference
AI Engineer
18 The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex
The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex
AI Engineer
19 The AI Evolution: Mario Rodriguez, GitHub
The AI Evolution: Mario Rodriguez, GitHub
AI Engineer
20 Move Fast Break Nothing: Dedy Kredo
Move Fast Break Nothing: Dedy Kredo
AI Engineer
21 AI Engineering 201: The Rest of the Owl
AI Engineering 201: The Rest of the Owl
AI Engineer
22 Building Reactive AI Apps: Matt Welsh
Building Reactive AI Apps: Matt Welsh
AI Engineer
23 Pragmatic AI with TypeChat: Daniel Rosenwasser
Pragmatic AI with TypeChat: Daniel Rosenwasser
AI Engineer
24 Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan
Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan
AI Engineer
25 Retrieval Augmented Generation in the Wild: Anton Troynikov
Retrieval Augmented Generation in the Wild: Anton Troynikov
AI Engineer
26 Building Production-Ready RAG Applications: Jerry Liu
Building Production-Ready RAG Applications: Jerry Liu
AI Engineer
27 120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson
AI Engineer
28 The Weekend AI Engineer: Hassan El Mghari
The Weekend AI Engineer: Hassan El Mghari
AI Engineer
29 Harnessing the Power of LLMs Locally: Mithun Hunsur
Harnessing the Power of LLMs Locally: Mithun Hunsur
AI Engineer
30 Trust, but Verify: Shreya Rajpal
Trust, but Verify: Shreya Rajpal
AI Engineer
31 Open Questions for AI Engineering: Simon Willison
Open Questions for AI Engineering: Simon Willison
AI Engineer
32 Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD
Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD
AI Engineer
33 GPT Web App Generator - 10,000 apps created in a month: Matija Sosic
GPT Web App Generator - 10,000 apps created in a month: Matija Sosic
AI Engineer
34 Using AI to Build an Infinite Game: Jeff Schomay
Using AI to Build an Infinite Game: Jeff Schomay
AI Engineer
35 How to Become an AI Engineer from a Fullstack Background - Reid Mayo
How to Become an AI Engineer from a Fullstack Background - Reid Mayo
AI Engineer
36 The Code AI Maturity Model and What It Means For You: Ado Kukic
The Code AI Maturity Model and What It Means For You: Ado Kukic
AI Engineer
37 AI Engineer World’s Fair 2024 - Keynotes & Multimodality track
AI Engineer World’s Fair 2024 - Keynotes & Multimodality track
AI Engineer
38 From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet
AI Engineer
39 The Making of Devin by Cognition AI: Scott Wu
The Making of Devin by Cognition AI: Scott Wu
AI Engineer
40 The Future of Knowledge Assistants: Jerry Liu
The Future of Knowledge Assistants: Jerry Liu
AI Engineer
41 Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney
Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney
AI Engineer
42 Open Challenges for AI Engineering: Simon Willison
Open Challenges for AI Engineering: Simon Willison
AI Engineer
43 Lessons From A Year Building With LLMs
Lessons From A Year Building With LLMs
AI Engineer
44 From Software Developer to AI Engineer: Antje Barth
From Software Developer to AI Engineer: Antje Barth
AI Engineer
45 Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner
Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner
AI Engineer
46 Copilots Everywhere: Thomas Dohmke and Eugene Yan
Copilots Everywhere: Thomas Dohmke and Eugene Yan
AI Engineer
47 Fixing bugs in Gemma, Llama, & Phi 3: Daniel Han
Fixing bugs in Gemma, Llama, & Phi 3: Daniel Han
AI Engineer
48 Low Level Technicals of LLMs: Daniel Han
Low Level Technicals of LLMs: Daniel Han
AI Engineer
49 Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta
Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta
AI Engineer
50 How Codeium Breaks Through the Ceiling for Retrieval: Kevin Hou
How Codeium Breaks Through the Ceiling for Retrieval: Kevin Hou
AI Engineer
51 What's new from Anthropic and what's next: Alex Albert
What's new from Anthropic and what's next: Alex Albert
AI Engineer
52 Using agents to build an agent company: Joao Moura
Using agents to build an agent company: Joao Moura
AI Engineer
53 Decoding the Decoder LLM without de code: Ishan Anand
Decoding the Decoder LLM without de code: Ishan Anand
AI Engineer
54 Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner
AI Engineer
55 Building with Anthropic Claude: Prompt Workshop with Zack Witten
Building with Anthropic Claude: Prompt Workshop with Zack Witten
AI Engineer
56 Building Reliable Agentic Systems: Eno Reyes
Building Reliable Agentic Systems: Eno Reyes
AI Engineer
57 10x Development: LLMs For the working Programmer - Manuel Odendahl
10x Development: LLMs For the working Programmer - Manuel Odendahl
AI Engineer
58 Disrupting the $15 Trillion Construction Industry with Autonomous Agents: Dr. Sarah Buchner
Disrupting the $15 Trillion Construction Industry with Autonomous Agents: Dr. Sarah Buchner
AI Engineer
59 Hypermode Launch: Kevin Van Gundy
Hypermode Launch: Kevin Van Gundy
AI Engineer
60 Git push get an AI API: Ryan Fox-Tyler
Git push get an AI API: Ryan Fox-Tyler
AI Engineer

Related AI Lessons

When AI Becomes Someone
Learn how AI intimacy can impact safety and why it matters for future AI development
Medium · AI
No One Talks About How AI Ruins Identity in the Most Unhinged Way.
AI can drastically alter our perception of identity, making it challenging to distinguish between human and artificial intelligence, and this has significant implications for our understanding of self and authenticity
Medium · AI
Anthropic Built an AI So Powerful It Refused to Release It to the Public
Anthropic developed a powerful AI model that was deemed too risky for public release, highlighting the importance of AI safety and responsible development
Medium · Machine Learning
The Coded Human or Artificial Intelligence? And Does Artificial Intelligence Have a God?
Explore the intersection of AI and philosophy, examining if AI has a god and what it means for human understanding
Medium · AI
Up next
AI Management Essentials: Integrating ISO 42001 & ISO 23894
Coursera
Watch →