Everyone Said AI Would Kill Developer Community. The Opposite is Happening.
Everyone says AI will empty out developer communities. Pauline Narvas is watching them boom instead, and her team built the agents proving why.


Everyone says AI will empty out developer communities. Pauline Narvas is watching them boom instead, and her team built the agents proving why.

Eighteen months ago, the most an AI coding tool could do was suggest the next line of code and wait for you to accept it. Today, you can hand Claude Code a feature spec, walk away, and come back to a working implementation. Here's how to ensure you're deploying agents in a governed way.

Last week’s report of a Cursor AI agent deleting PocketOS’s production database is the kind of story that makes every platform and security leader pause. Not because it’s surprising, but because it was inevitable.

This year, Coder released its AI Maturity Self-Assessment alongside a five-stage framework for understanding how engineering organizations adopt agentic AI. Over several weeks, 100 engineering organizations completed the assessment. These are the findings.

Abridge is one of the fastest-growing AI companies in healthcare. This is the story of how Abridge rearchitected its developer infrastructure using Coder and transformed developer onboarding time from days to minutes.

Tab switching is a productivity killer. The Coder Tasks plug-in for VS Code-based IDEs including Cursor allows you to trigger Coder Tasks directly from within your IDE.

I wanted everything OpenClaw offered: a personal AI agent on my own hardware, connected to my real tools, available around the clock. But I also wanted a system where the secure setup is the default, without requiring constant hardening and maintenance.

Announcing the general availability of AI Bridge and Agent Boundaries in Coder v2.30, both included in Coder’s new AI Governance Add-On.

Coder built Animus, a customer intelligence agent that unifies scattered enterprise data into a conversational Slack interface, using Blink to go from concept to production in weeks and deliver immediate value across sales, engineering, and product teams.

Instead of isolating agents in a stripped-down sandbox with no context, Agent Boundaries allow developers and agents share the same authentic workspace—tools, dependencies, data, and all.

When AI agents run on local laptops with unrestricted access to your private repositories, your APIs, and the open internet, you've created a governance nightmare that no CISO can defend.

What the first AI-orchestrated cyberattack means for CISOs. Your board will have questions.

Experienced developers often slow down when adopting AI coding tools, not because the technology fails, but because they're learning to shift from solo creator to collaborative reviewer of AI-generated code. Drawing from data showing a 19% velocity decrease among senior engineers and insights from the [DEV]olution podcast, this piece explores why the initial friction is actually an investment. Teams willing to be slower today while building trust through verification and establishing the right infrastructure will ultimately be faster, more confident, and more productive tomorrow.

Local development environments are inconsistent and unpredictable, filled with forgotten configs and custom workarounds. For human developers, this is frustrating—but for AI agents that can autonomously execute commands, it's genuinely dangerous. Ephemeral environments solve this by providing fresh, production-like workspaces that can be spun up instantly and deleted just as quickly, containing the blast radius when things go wrong. Beyond making AI agents safer, they eliminate the "works on my machine" problem entirely, helping human developers debug actual code instead of investigating mysterious local setups.

Enterprises are racing to adopt AI. Cursor IDE is most effective with Model Context Protocol (MCP). With Coder, you can pre-configure MCP in workspace templates so devs get a golden path from day one—while IT keeps control with IaC.

AI tools are reshaping how enterprise development teams work, but success requires more than just deploying the latest assistants. Drawing from our work with Fortune 500 companies and other enterprise customers, we've identified key lessons around what works when adopting AI in enterprise software development.

Microsoft's Windows 11 hardware requirements aren't just breaking budgets — they're creating the perfect opportunity to rethink your entire development strategy. While most teams scramble to buy compliant laptops, forward-thinking leaders are asking a different question: What if this forced migration is actually permission to go cloud-native?

The IDE will not be the center of the developer universe. AI-powered editors like Cursor and Windsurf are a stop on the AI tour, not the destination. The future is chatting with an agent.

A practical guide to AI-assisted legacy modernization that separates hype from reality. Learn where AI delivers real value, how to build effective human-AI partnerships, and implement strategies that actually work in enterprise environments.

The role of the engineer is shifting. It’s less about typing every line and more about knowing what to ask for, when to step in, and how to shape outputs into production-ready code. The goal isn’t to do less thinking. It’s to spend more time thinking about the right things.
