We ❤️ Open Source

A community education resource

ATO Team

Since 2012 three core beliefs have driven everything we’ve done:

Open Source is at the core of innovation and remains a gateway to participation and opportunity
Live events and in-person communication and engagement will continue to increase in importance and relevance
Access to affordable Open Source education has never been more vital

For years we’ve followed these beliefs and created events and platforms that have hosted tens of thousands from all over the world. Just a few include the All Things Open conference, the largest open source event on the U.S. east coast, thriving user groups, and We ❤️ Open Source, a community education resource.

And throughout it all, our focus on access, diversity, and inclusion and a commitment to helping others have remained steadfast. We strongly believe you can do business differently and still be successful, which is why we’ve work hard to be a Certified B Corporation.

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We ❤️ Open Source

ATO Team

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Articles by ATO Team

From specialized coder to orchestra conductor: How AI changes developer roles

You don’t need a biochemistry degree to analyze proteins

Inside an OSPO: What open source program managers actually do

How synthetic data accelerates AI development without privacy risk

The million dollar question: What do open source maintainers actually need?

How to engage with policy makers when you’re a developer (not a lobbyist)

Model parameters grew 3x in 10 years: Here’s what that means

Trading openness for convenience: From app stores to AI assistants

The open source threat bringing back vendor lock-in

Inside Frenzy Works: The maker space where being bad at things is the point

Stop opening firewall ports and start using identity

The AI slop problem threatening open source maintainers

Introducing the blue-red framework for effective viable coding

Turning code into music with Sonic Pi

Tech hiring in the AI era: Why everyone’s at zero

How LLMs and AI agents eliminate DevOps toil with intelligent automation

Why 1.3 billion people depend on progress, not perfection

Why edge computing isn’t just cloud at the network edge

What version control looks like when AI agents write the code

Stop guessing, start measuring developer engagement

Why today’s AI isn’t intelligent (yet)

Inside the agentic web: What developers should know now

Building smarter AI workflows: How MCP helps agents work with real developer tools

Build, struggle, learn: Why hands-on learning beats theory in the age of AI

Why small models are making a big impact in AI accessibility

Why empathy might be the missing ingredient in open source AI

How Block scaled MCP across 12,000 employees in two months

What submarines and lemon juice reveal about building real AI expertise

Why AI can’t replace your middle managers

ERGs aren’t just for culture, they’re growth engines for open source

Why your best engineer might be a former ballerina firefighter

Open source won, so why are we still fighting?

The third decade of open source: New rules for developers

Democratizing AI: Building responsible and ethical solutions as a developer

AI-driven issue triage: AWS’s 90% faster response time strategy

Practical tools to simplify GenAI observability and monitoring

How to balance open source learning and AI productivity hacks

How to manage AI responsibly with MLOps, model cards, and nutrition labels

Why treating AI as a co-pilot can transform your coding sessions

How to get started with agentic AI using open source tools

Open source AI done right: Key security and privacy practices

How AI is helping your nonprofit write grants faster and smarter

The right tool for the job: AI, open source, and developer productivity

How vector databases unlock semantic search and AI workflows

Smarter AI workflows: Fine-tuning, declarative ML, and Kubernetes in action

Meet Goose: The open source AI agent built for developers

How Acorn Labs is rethinking AI adoption with Obot

3 key metrics for reliable LLM performance

Want to get into AI? Start with a real problem worth solving

7 practical steps to avoiding pitfalls in AI

The secret skill every developer needs to succeed with AI today

AI observability: From reactive troubleshooting to proactive insights

Why local governments need an AI strategy and how open data paved the way

Build your own private AI assistant with Bookshelf

Observability is confusing, here’s how to learn it

Are we coding through a revolution or an evolution?

Build better with AI: Lessons from real-world GenAI projects

What if your AI agent could actually help?

How developers can tap into the potential of open source AI

Columnar vs row-based databases explained

Getting started with AI on a budget: Tools you can use and what’s coming next

AI agents are here—are your skills ready?

Connecting the dots to build better software and stronger teams

Why most companies struggle with community—and how to fix it

Building APIs with intent: Raphaël Simon on Goa and design-first development

Going solo in tech: What this developer learned from starting a business

How to build an AI agent in 10 lines of code | Agentic AI demo

How curiosity, Kubernetes, and community shaped my open source journey

How AI agents are turning LLMs into real software tools

Top challenges developers face when working on AI video dubbing

What is SurrealDB?

Why Columnar databases and Apache Arrow are essential for modern analytics

What is Scarf?

The missing metric in open source: Who’s using your code?

From code to prompts: A developers shift to AI-powered workflows