The concept of remote development is deceptively simple: spin up your development environment somewhere thats not your local machine. The perks range from freeing up local resources to not panicking when your laptop gets stolen.Yet, there are plenty of pitfalls, including flaky setups, poor visibility, and lousy monitoring. Lets look at some best practices of remote development and see what JetBrains has to offer.1. Get rid of RDP/VNC/VDSIf youre still remote developing by pixel-streaming, youre wasting your time. Real remote development feels local, handles flaky networks gracefully, and scales far beyond your laptop.Reality check: Streaming your whole desktop is like lugging a cinema projector over SSH. Every keystroke triggers massive pixel redraws, your IDE becomes sluggish, and one lost packet freezes everything. Why move video frames instead of code diffs? Modern remote protocols only send keystrokes and UI deltas. Latency plunges, and your IDE snaps back to life.2. Stay online, even when youre notFlaky Wi-Fi isnt an excuse anymore. A proper remote development client buffers your edits locally, shows a reconnecting notice, and pushes your changes when youre back online. Linting, inspections, breakpoints they pick up seamlessly. You keep context, and your work never vanishes into thin air.3. Enterprise-grade orchestrationOne VM or container remotely? Sure, great for demos. But ten teams? A dozen projects? Manual SSH scripts crumble fast. You need a Cloud Dev Environment (CDE) orchestrator that addresses the following pain points:Paint PointHand-Rolled SSH/Docker/VMCDE Orchestrator (e.g., CodeCanvas)Resource scalingStatic, brittleAuto-scale, auto-stop, snapshotsEnvironment driftWorks on my machineVersioned templates, pre-built imagesProvisioningManual installsPre-warmed toolchains, secrets, pluginsSecurityOpen SSH risksZero-trust relays, jump servers, air-gapped lockdownVisibilityDark no metricsDashboards for usage, health, failuresIf youre not automating this stuff, youre putting your team at a disadvantage.4. CodeCanvas: JetBrains answerWe built CodeCanvas to cover every base:Dev environment templates: Versioned, shareable, based on Docker images (build your own if needed), IDE backends included.Auto-provisioning: Plugins, VS Code extensions, secrets everything installs itself.Cost control: Idle workspaces auto-stop, warm-up snapshots and standby pools minimize startup delays.Zero-trust security: WebSocket relays (no inbound pods), SSH jump servers as needed, and strict clipboard restrictions.Observability: Real-time dashboards to monitor environment creation, adoption rates, crashes, and idle times.5. Borrow, dont reinvent follow the leadersGitHub Codespaces: Uses devcontainer.json, spins up on GitHubs infrastructure.Gitpod: Declares workspace configuration via .gitpod.yml, provides consistent branch environments.AWS Cloud9: Automates EC2 provisioning and Docker setup via AWS APIs, browser-based and fully scriptable.CodeCanvas: Scalable Kubernetes-based environments (EKS, AKS, GKE, or your bare-metal clusters) designed for distributed teams.If youre building your own, ask yourself: what do these platforms handle that Im missing?6. Workflow orchestration beats task automationCreating a VM is just a task. Combining container builds, secret management, post-hooks, health checks, and cleanup thats orchestration. True CDE platforms handle this complexity gracefully. If youre still scripting docker run in shell scripts, youre reinventing the wheel.7. Short-lived environments are mandatoryIf you try to cram everything into a single long-living environment, youll just be stuck twiddling your thumbs during branch switches and rebuilds. When environments spin up in seconds, they become disposable. This allows a fresh environment for each feature or code review, tossed away as soon as youre done with it. Warm-up snapshots and standby pools have turned cold start into a thing of the past. Short-lived CDEs ensure consistency, security, and predictable costs.8. Security and compliance: dont get pwnedZero trust: Authenticate and authorize every single IDE connection.Network isolation: Use per-cluster relays and jump servers with no direct SSH. Restrict clipboard actions to prevent data leaks.Policy enforcement: Align your practices with security benchmarks development environments are vulnerable if left unguarded.9. Metrics that actually matterDashboards arent just window dressing they drive optimization. Get an overview of:Startup latency: From spin-up to first build or indexing.Resource utilization: CPU, memory, and I/O per workspace.Idle time: Triggers for auto-shutdown.Failure rates: Backend crashes, reconnections.Use tools like Prometheus/Grafana, Dynatrace, or cloud-native monitoring to correlate developer efficiency with infrastructure health.10. AI agent support no longer optionalYour CDE orchestration now has to treat AI agents like first-class citizens, not just humans. That means clean APIs, bulletproof permissions, and tight resource controls. Mistakes here mean youll find yourself quickly outdated in a landscape where AI isnt optional anymore.Bottom lineIf youre clinging to RDP, VDI, manual SSH hacks, or one-off VMs, youre consciously choosing friction over productivity. Embrace protocol-smart remote dev clients, short-lived environment orchestration, zero-trust security, and meaningful metrics. Whether you adopt CodeCanvas, Codespaces, Gitpod, or AWS Cloud9 these patterns arent optional if you care about scale, security, and developer velocity.