The developer’s dilemma
If you’ve ever been the new hire on a dev team, you know the drill. You get your laptop, open the onboarding doc, and spend the next two days installing tools, configuring dependencies, and chasing permissions. Something doesn’t work (it never does). You ping IT. They’re swamped. You try Stack Overflow. Eventually, you’re set up, but that’s hours (sometimes days) lost before you can even push your first commit.
Or, maybe you’re not new at all and you’re just switching branches to test a feature, and suddenly your environment breaks because of mismatched dependencies. Cue the dreaded “works on my machine” moment.
These are the brick walls developers hit every day.
Where traditional setups fail
Traditional local development is familiar but flawed:
- Onboarding stalls momentum. Instead of coding on day one, new devs spend hours (often spread across multiple days) setting up machines.
- Inconsistent environments lead to frustrating bugs. What runs fine locally might crash in production.
- Scaling AI/ML workloads locally is nearly impossible without expensive hardware, so data scientists and engineers are stuck waiting or cutting corners.
- Security gaps emerge when code and data live on local machines instead of governed infrastructure.
In short, local setups aren’t keeping up with the way modern teams build software.
A day in the life: before vs. after Coder
Imagine two developers starting at the same company:
Before Coder:
Alex gets their laptop and starts onboarding. They follow a 10-step setup guide, but halfway through, the version of Python they install doesn’t match what’s in the project repo. After wrestling with dependencies, they email IT. By the end of day one, Alex has written zero lines of code.
With Coder:
Sam logs in and launches a pre-configured cloud workspace in under in minutes. Their IDE (VS Code) is already connected to GitHub, with the right dependencies and secure access. By lunch, they’ve pushed their first PR.
Both are equally talented developers. But one is blocked, while the other is shipping code. That’s the difference a cloud development environment makes.
Enter Coder: Cloud Development Environments (CDEs)
Coder enables developers to leave behind the bottlenecks of local setup and move everything into the cloud. With Coder, you can:
- Launch environments in minutes, not days.
- Use your favorite tools—VS Code, JetBrains, SSH—with no extra setup.
- Integrate seamlessly with tools like GitHub, GitLab, Sonarqube, Artifactory, and Azure DevOps.
- Run GPU/TPU-powered workloads securely, without local hardware limits.
Instead of onboarding delays, environment drift, and hardware bottlenecks, developers just code.
But here’s the catch…
Running Coder yourself still means handling deployment, scaling, monitoring, compliance, and updates. That’s a wall many teams don’t want to hit.
This is where iTmethods steps in.
While Coder typically focuses on larger enterprise deployments, iTmethods makes it accessible for teams of all sizes. Whether you have 10 developers or 100+, we can deliver the same secure, fully managed Coder experience, tailored to your organization’s needs.
Managed Coder on iTmethodsONE
With the iTmethodsONE platform, you get all the benefits of cloud development environments without the overhead of running it yourself.
Here’s how different teams use it:
- A fast-scaling startup doubling its dev team every quarter uses Managed Coder to eliminate onboarding delays. Every new hire gets a workspace that’s ready to code on day one.
- A global AI/ML team leverages GPU-enabled environments to run data-intensive workloads securely in the cloud, avoiding compliance risks tied to sensitive data on local machines.
- A hybrid IT team uses Coder across both its private AWS tenant and our managed cloud, with iTmethods handling monitoring, scaling, and updates.
In each case, the wall disappears, and developers stay productive. IT stays focused on strategy.
Security and compliance: An often overlooked wall
It’s not just about productivity. In regulated industries, governance and compliance are critical. Local setups often leave teams exposed: lost laptops, unpatched machines, unmonitored code.
With Managed Coder on iTmethodsONE, you get enterprise-grade security built in:
- Workspace isolation and network-level security.
- SOC 2, GDPR, and audit-ready compliance out of the box.
- Centralized dashboards for monitoring and logging.
- Managed patching, backups, and high availability.
Developers don’t have to think about compliance, but your security team sleeps better at night.
Reflecting on developer freedom
At the heart of it, Managed Coder is about removing friction. Developers want freedom to build, to test, to innovate without being slowed down by setup guides, broken dependencies, or compliance checklists.
Coder provides that freedom through cloud development environments. iTmethods adds the wrapper (think deployment, monitoring, security, and governance) that makes it work for teams at scale.
Ready to see the difference?
You don’t have to imagine the productivity gains, you can see it for yourself.
- Onboard developers in minutes, not days.
- Run GPU/TPU workloads without local bottlenecks.
- Standardize environments across your organization.
- Gain enterprise-level security and compliance from day one.
The next time you feel that familiar brick wall in your development process, remember, there’s a better way forward.
Start your free trial and give your developers the freedom to just code.
