Coder @coderhq
Self-hosted environments for agentic software development coder.com Open source Joined April 2017-
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78% of enterprise devs use AI tools daily. 12% of orgs govern them. That's not an adoption problem, it's an infrastructure problem. June 30, we're talking about it with engineering leaders who've lived both sides. cdr.co/3NDE1OA
Engineering leaders are at wildly different points on the AI adoption curve. June 30 we're unpacking what separates the teams ahead from the ones stuck. Register here: cdr.co/3NDE1OA
Vercel built AI agents to handle the grunt work in their developer community. The result: more human connection, not less. Pauline Narvas on why AI makes communities more valuable → coder.com/blog/ai-and-de…
Engineering teams plan for AI adoption. Almost none plan for the infrastructure and governance mess that follows six months later. Dave Fraley broke down what actually happens next. coder.com/blog/your-team…
Where does your engineering team actually sit on the AI adoption curve? Most leaders can't answer that clearly. June 30 — live conversation for engineering leaders on what the journey really looks like. cdr.co/3NDE1OA
Most companies are betting everything on AI tools. The signal they're missing: developer communities are thriving right now because of AI. Pauline Narvas (Vercel → OpenAI Codex) breaks it down on the latest [Dev]olution.
Seven events. Four cities. Thirty days. Our June is fully booked from London to San Francisco. Check out the full calendar and come say hi if you're around! cdr.co/cdreventsjune
Coder meetup in London, June 11. Platform engineering, AI coding agents, cloud dev environments. Limited spots. aicamp.ai/event/eventdet…
LDX3 London this week. Booth 209. Come talk to us about running AI coding agents on infrastructure you actually control. Live demo on June 3 at 14:15. leaddev.com/leaddev-london/
Live demo at LDX3 London: running AI agents securely in self-hosted infrastructure. Controlled execution, access management, infrastructure boundaries. June 2, 13:10. leaddev.com/leaddev-london…
On the ground at Open Source Summit NA. Nicky Pike on stage today: what happens when your AI agent has keys to production. Come find us. events.linuxfoundation.org/open-source-su…
At Open Source Summit NA next week. Nicky Pike is presenting on governance patterns for AI agents in production. Come find us in Minneapolis, May 18-20. events.linuxfoundation.org/open-source-su…
A lot of people ask us "how does it actually work?" So we built something to answer that properly. The Coder Architecture Explorer shows exactly where Coder fits into your infrastructure. This is how teams like Anthropic set up cloud dev environments. cdr.co/explorex
Getting AI coding agents into a secure cloud environment shouldn't take longer than training the model did. May 27, 2 PM ET: hands-on workshop with Carahsoft + AWS. Deploy Coder on EKS, build agentic workflows with Bedrock, leave with a working setup. carahevents.carahsoft.com/Event/Register…
Every enterprise hitting scale with AI agents runs into the same three bottlenecks. CI/CD. Team structure. Role definition. All predictable. All solvable. May 20 with David Fraley. cdr.co/airightx
Updated: deploying governed AI coding agents on Red Hat OpenShift with workspace isolation and full audit trails. Come find us at Red Hat Summit this week. cdr.co/redhatx
AI adoption worked. Now your CI/CD is buckling, team structures are misaligned, and senior engineers are directing agents instead of writing code. David Fraley maps the predictable failure modes, May 20. cdr.co/airightx
Check out our full walkthrough for Coder Agents here: youtu.be/bhOl_tB1vTo
Full Premium features, no usage limits, through September. Self-hosted on your infrastructure. Try it here: cdr.co/agent
The agent loop runs in the coderd control plane. It reads, writes, edits, and executes inside workspaces the same way a developer would. The workspace itself doesn't know AI is involved.
Coder Agents separates how agents run from which models they use. Platform teams centrally control models, prompts, MCPs, and skills. Developers get a chat interface and an API.
Most agent tools are tightly coupled to a single provider. Pick one and you're locked into its models, its ecosystem, its workflow patterns. That gets expensive to undo at scale. Coder Agents is self-hosted, model agnostic, and open source, giving you flexibility without lock-in
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