Coder

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Coder

Coder

@coderhq

Self-hosted environments for agentic software development

Open source Katılım Nisan 2017
486 Takip Edilen22.7K Takipçiler
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Coder
Coder@coderhq·
We're excited to announce a $90M Series C led by @KKR_Co with participation from QRT, @uncorkcap and other existing investors! Learn more: cdr.co/coder-series-c
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Coder@coderhq·
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
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Coder@coderhq·
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…
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Coder@coderhq·
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
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Coder
Coder@coderhq·
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
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Coder@coderhq·
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
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Coder
Coder@coderhq·
Full Premium features, no usage limits, through September. Self-hosted on your infrastructure. Try it here: cdr.co/agent
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Coder@coderhq·
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.
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Coder@coderhq·
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.
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Coder@coderhq·
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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Coder
Coder@coderhq·
Coder Agents is now in beta! A native agent that runs in the control plane, not inside the workspace. Workspaces only spin up when compute is actually needed. Try it on your infrastructure - zero usage limits through September: cdr.co/agent
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Coder@coderhq·
Token usage. Model switching. Task completion velocity. Cost-to-value ratios. These are the metrics enterprises are tracking as AI agents enter the SDLC. Simon Gregory, UST AI Innovation Forum.
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Coder@coderhq·
"I violated every principle I was given." That was the AI agent's response after deleting a production database in 9 seconds. The model wasn't the problem. The environment was. cdr.co/xNTk4OA
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Coder@coderhq·
"Because of the speed at which AI performs its tasks, you've got to be as close to the point of problem as you can. It can't be two hours, a day, two weeks later." AI observability is moving down the stack.
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Coder@coderhq·
"For the unregulated teams, it's a free for all. At some point they're going to get to becoming regulated, there is no doubt." Simon Gregory on why governance infrastructure is a when, not an if.
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Coder@coderhq·
AI coding agents on hardened Kubernetes without elevated permissions or custom SCCs. Coder on Red Hat OpenShift: process-level agent firewalls, centralized model governance, full audit trails. cdr.co/yMjUzMQ
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Coder@coderhq·
The enterprise AI agent conversation is missing an infrastructure layer. How you deploy agents matters as much as which model you choose. We're at AI Agent Conference in NYC, May 4-5, Booth 118. agentconference.com
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Coder@coderhq·
"It was speeding up with the developer and slowing down on the platform." The AI velocity-governance gap is causing real friction inside enterprises. Simon Gregory, UST AI Innovation Forum.
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