Call for Speakers

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in 32 days

Denver Dev Day | Developer's Conference | June 2026

event date

26 Jun 2026

location

13300 W 6th Ave, Lakewood, CO 80228 Denver, Colorado, United States


What is Denver Dev Day?

Welcome to Denver Dev Day, Colorado's premier, local community-organized data & developer event. With presentation topics ranging from desktop to cloud, patterns to practices, and any skill to help developers be more productive and successful. No topic is discouraged. 

Is Denver Dev Day in-person only?

Yes. We don't record or do hybrid. 

Is Denver Dev Day free?

Yes. Free to attend. 

Do speakers get paid?

No. We want to say yes, but the answer is no. 

When & where is Denver Dev Day?

Friday, June 26, 2026.

Red Rocks Community College
13300 W 6th Ave, Lakewood, CO 80228


finished 9 days ago
Call for Speakers
Call opens at 9:00 AM

01 Apr 2026

Call closes at 5:00 PM

15 May 2026

Call closes in Mountain Daylight Time (UTC-06:00) timezone.
Closing time in your timezone () is .

Thank you for considering Denver Dev Day.

As a speaker at Denver Dev Day, you get the opportunity to speak to a thoughtful audience of bright technologists and eager developers from a thriving local community.

This is our fifteenth Denver Dev Day.  

We think your talk will be the most successful if you shoot for level 100 or 200. Generally, level 100 and 200 sessions reach the most developers. The same is true for Denver Dev Day.  

Pick a topic relevant to developers.

We have several tracks, including Client, Web, Data & Cloud. If you can't fit your topic in one of those, just pick Other. We're open to innovative ideas but remember the dev in Denver Dev Day is for Developer.

Tip: we love talks on design patterns and development techniques.

Sessions are 50 minutes.

Lightning talks are 15 minutes.

Our schedule: Breakfast > Keynote > Sessions > Lunch > Sessions > Closing. It's simple and easy and you can choose if you want to speak in the morning or afternoon - or let us choose, which will help us a lot. 

We look forward to seeing your submission!


all submitted sessions

publicly listed on this page

event fee

free for speakers

Travel expenses are not part of Denver Dev Day

44 submissions
Submitted sessions
Sravanthi Kondoju
  • Engineering Reliable AI Agent Platforms: Observability, Safety & Resilience at Scale
  • Driving Efficiency with Data Platform Governance: Uncovering Orphaned Data
Cameron Ludwig
  • Beyond agent.md: Why Your AI Configuration Will Break the Moment Someone Else Uses It
  • Your AI Practice Will Not Survive Your Second User
Matt "Kelly" Williams
  • Architecture Mattors
  • Vibe Coding Meets Reality: Reviewing AI-Generated Code Before It Hurts You
  • Hidden Inefficiency Patterns in Modern Software Systems
Vineel Bala
  • Zero Trust Security for Cloud Native Enterprise Data Platforms and AI Systems
Andrew Madson
  • To Infinity & Beyond! - Future-proofing pipelines with open standards
  • The Who, What, and Why of Data Lake Table Formats
  • Iceberg for Agents - Turning Lakehouse Data Into AI-Ready Context
Delmer Johnson
  • Creating the Access-DevTool-MCP Open Source Project
Kobie Botha
  • Local-First and Sync: A Practical Primer
  • Building Realtime and Offline-First Apps Using Sync Engines
  • How AI Helped Our Entire Company to Ship Code
Sandeepa Genne
  • Scalable Rendering Strategies for High Traffic Web Platforms Using Modern React Frameworks
Juarez Junior
  • Mastering Seamless Integration of Python DataFrames and Tensors with Oracle Database
  • Powering LangChain4j with Model Context Protocol Integration
  • Autonomous Agents – Building Agentic AI Solutions with LangChain4J
Jaydeep Taralkar
  • Transforming Finance with Ethical AI and Big Data Driven Intelligent Systems
show all submissions
Erik Hanchett
  • Using Spec-Driven Development for Production Workflows
  • Make Your Serverless Functions Do More with Durable Executions
Jamie Dixon
  • Using Graphs to Improve Reliability In Your Cloud Workloads
Aaron Cure
  • Designing for Evil: A Pentester's Case for Building Beyond the Requirements
Varun Joshi
  • From ETL to Autonomous Pipelines — The Future of Data Engineering on AWS
  • Agentic Loops in the Data Stack: From Pipeline Failure to Auto-Remediation
  • RAG for Data Engineers: What It Is, Where It Fits, and Why Your Metadata Is the Missing Piece
Megha Kadur
  • From Chaos to control: AI agents with guardrails in DevOps
Dan Moore
  • Protecting your API with OAuth
  • Securing your MCP server
  • Your app's front door: authentication architectural patterns
Craig Tomanini
  • AI Without the Hype: Practical Patterns for Building Human-Centered Business Automati
Alexander Kislukhin
  • Marimo - yes, notebooks in production
Vijay Kumar Soni
  • Architecting Cloud Modernization: AI-Driven Strategies for Legacy Platforms
Heather Downing
  • AI Agents Need Permission Slips
Aaditya Chauhan
  • Everything That Breaks When You Scale RAG to Production
Brooke Kuhlmann
  • Terminus: A Hanami + htmx web application for ePaper devices
Harsha Vardhani Talluri
  • Unified DOCSIS Chipsets for Scalable Multi-Vendor Networks
Gilberto Hernandez
  • From Iceberg to Intelligence: Your First Lakehouse Data Pipeline For AI Agents
Carlos Robles
  • From Spec to Shipped: Building AI-Ready Apps with GitHub Copilot and Microsoft SQL
  • Build Modern AI-Ready Apps with Microsoft SQL in VS Code
Sam Basu
  • Packing Light with VS Code 🧳
  • Design & Develop Cross-Platform .NET Apps with Uno Platform & AI 💞
  • AI Your Way: MCPs vs Skills vs SubAgents 🤖🚀