- Featurenorthflank.com
How to give AI coding agents secure access to private repositories, databases, and services
## TL;DR: how to give AI coding agents secure access - AI coding agents need access to private repositories, databases, APIs, and other services to complete real development tasks. Secure access means…
- northflank.com
How to run multiple Claude Code sessions in parallel
## TL;DR: how to run multiple Claude Code sessions in parallel - You can run multiple Claude Code sessions in parallel to work on different tasks simultaneously. Each session should have its own worki…
- northflank.com
What is a coding harness?
## TL;DR: what is a coding harness? - A coding harness is the infrastructure layer that gives a coding agent the environment it needs to work, including a shell, file system, repository access, creden…
- northflank.com
Best e-commerce hosting platforms in 2026
Quick summary: Best e-commerce hosting ranges from simple setup platforms to scalable infrastructure for custom applications. For development teams from solo technical founders to enterprise engineeri…
- Featurenorthflank.com
How to run coding agents in the cloud
## TL;DR: how to run an AI coding agent in the cloud - Running a coding agent in the cloud gives it an isolated environment with its own compute, storage, networking, and development tools. - Cloud en…
- Contentnorthflank.com
What are cloud coding agents?
## TL;DR: what are cloud coding agents? - A **cloud coding agent** is an AI coding agent that runs in a remote cloud environment instead of directly on your local machine, with the compute, storage, t…
- northflank.com
Best code execution APIs for AI agents in 2026
## TL;DR: Best code execution APIs for AI agents in 2026 The best code execution API for your AI agent depends on what it needs to run, which results it needs back, how code is isolated, and what stat…
- northflank.com
How to optimise GPU utilisation and reduce cloud costs
## TL;DR: how to optimise GPU utilisation and reduce cloud costs - GPU cost optimization starts with measuring utilisation, identifying idle capacity, and matching GPU types and quantities to workload…
- Featurenorthflank.com
August & September 2026 | Changelog
Northflank introduced Harnesses for running coding agents in managed workspaces with persistent storage and browser terminals, alongside self-service microVMs on BYOC for untrusted workloads. The plat…
- northflank.com
How to choose a bring your own cloud (BYOC) platform for your enterprise
## TL;DR: how to choose a bring your own cloud platform - **Genuine BYOC means the workload data plane runs in your cloud account, user traffic enters your VPC directly, and infrastructure costs bill …
- northflank.com
Best AI agent harnesses in 2026
## TL;DR: Best AI agent harnesses in 2026 The best AI agent harness depends on how you want to run agents, customize their behavior, and manage their work: 1. **Northflank Cloud Harness:** Best for de…
- northflank.com
Control plane vs data plane in BYOC: What runs where?
Control plane vs data plane in Bring Your Own Cloud (BYOC) is a separation of responsibilities: the control plane manages deployments and configuration, while the data plane runs applications and proc…
- northflank.com
GPU autoscaling: How to scale without wasting capacity
GPU autoscaling reduces wasted capacity when you scale application replicas using workload demand, coordinate GPU node capacity with those replicas, and release idle infrastructure while meeting your …
- northflank.com
Northflank vs Runloop: AI sandboxes, pricing, and infrastructure compared
## TL;DR: Northflank vs Runloop Northflank and Runloop both provide isolated execution environments for AI agents and untrusted code. Northflank combines [sandboxing](https://northflank.com/docs/v1/ap…
- northflank.com
How do ephemeral environments reduce infrastructure costs?
## TL;DR: how ephemeral environments reduce infrastructure costs - **Persistent environments accumulate infrastructure costs** even when nobody is using them. Idle compute, overprovisioned resources, …
- northflank.com
Northflank vs Blaxel: AI sandboxes, pricing, and infrastructure compared
## TL;DR: Northflank vs Blaxel Northflank and Blaxel both provide isolated execution environments for AI agents and untrusted code. Northflank combines sandboxing and microVM-backed isolation with the…
- Contentnorthflank.com
Northflank vs Daytona: sandboxes, pricing, and infrastructure compared
## TL;DR: Northflank vs Daytona Northflank and Daytona both provide isolated sandbox environments for AI agents and untrusted code execution. Northflank integrates Sandboxes and microVM-backed isolati…
- northflank.com
How to run the Codex AI coding agent securely in the cloud
Running Codex securely in the cloud entails setting up an isolated coding workspace and limiting the files, credentials, and network connections the AI coding agent can access. A Codex sandbox adds co…
- northflank.com
How to run the Claude Code AI coding agent securely in the cloud
Running Claude Code securely in the cloud means giving it an isolated workspace and limiting access to files, credentials, and network connections. Claude Code is an AI coding agent that can edit file…
- northflank.com
How to create secure preview environments with isolated sandboxes
A pull request can change the application, its dependencies, and the scripts that run during a build. If its preview inherits production credentials or unrestricted access to internal services, code a…
- northflank.com
Northflank vs Fly.io: which deployment platform should you choose?
## TL;DR: Northflank vs Fly.io - **Fly.io fits developers and teams that need distributed deployments** with Firecracker-based isolation, Anycast routing, and scale-to-zero Machines. Workloads run on …
- northflank.com
Coding-agent orchestration: How to manage agents across enterprise teams
Coding agents working across several engineering teams can produce overlapping changes, consume shared test capacity, and leave work waiting for an owner. Your teams need a consistent way to assign ta…
- northflank.com
Northflank vs Fly.io Sprites: which platform fits your requirements?
## TL;DR: Northflank vs Fly Sprites - **Fly Sprites fit teams that want persistent Linux environments for AI agents**, with Firecracker isolation, durable filesystems, automatic sleep and wake, and ch…
- northflank.com
Northflank vs Qovery: which platform fits your requirements?
## TL;DR: Northflank vs Qovery - **Qovery fits small teams with no DevOps experience** that want a self-service platform for Kubernetes running in their own AWS, GCP, Azure, or Scaleway account, with …
- northflank.com
What is the best global PaaS with multi‑region deployments?
# TL;DR - The best global PaaS with multi-region deployments is [**Northflank**](https://northflank.com/). - Global PaaS platforms with multi-region deployments = a cloud platform that runs applicatio…
- northflank.com
What is an agent harness? How agent harnesses work
A model can suggest a code change, but completing the task requires something to read the repository, run commands, inspect failures, and preserve progress. Once those actions can affect files or serv…
- northflank.com
Northflank vs Porter: which platform fits your requirements?
## TL;DR: Northflank vs Porter - **Porter fits smaller teams and relatively simple workloads that want a Kubernetes abstraction layer in their own cloud.** It provides managed Kubernetes operations, G…
- northflank.com
How to deploy coding agents at scale
A coding agent can fix a bug, update a dependency, and run tests in one session. When your teams start doing that across many repositories, you also need to control where those sessions run, what they…
- Contentnorthflank.com
How to run autonomous research agents at scale
## TL;DR: how to run autonomous research agents at scale - Autonomous research agents combine web search, document retrieval, code execution, and synthesis into an autonomous loop, without requiring h…
- northflank.com
How to build secure AI agents for enterprise data
## TL;DR: how to build secure AI agents for enterprise data - Enterprise AI data agents touch regulated data, hold privileged access to databases and internal systems, take actions that may be difficu…
- Featurenorthflank.com
How to control access to preview environments across enterprise teams
A preview may exist for only a few days, but the application behind its URL may expose an unreleased feature, customer-shaped test data, administrative screens, and access paths to internal services. …
- northflank.com
How to monitor and debug AI-agent sandboxes in production
An AI-agent sandbox can be running while the agent is stuck in a tool loop, using the wrong credential, sending data to an unexpected destination, or producing an unusable result. Container uptime tel…
- northflank.com
How to build and run an AI data analysis agent
## TL;DR: how to build and run an AI data analysis agent - An AI data analysis agent combines a language model with tools for querying databases, executing Python, accessing files, and working with th…
- northflank.com
Dokploy vs Render: which deployment platform should you choose?
Dokploy and Render simplify deployment in different ways. Dokploy gives you an open-source control plane for selected servers, while Render runs applications and managed datastores on Render infrastru…
- northflank.com
Dokploy vs Heroku: which deployment platform should you choose?
Dokploy and Heroku both reduce the work involved in deploying applications, but they place the infrastructure boundary in different places. Dokploy gives you an open-source control plane for Docker wo…
- northflank.com
Dokploy vs Coolify: which deployment platform should you choose?
Dokploy and Coolify both turn your own servers into application deployment platforms. The decision depends on how you want to scale across servers, which deployment and database workflows you need, an…
- northflank.com
Dokploy vs Railway: which deployment platform should you choose?
Dokploy and Railway both simplify application deployment, but they give your team different infrastructure responsibilities. Dokploy runs a deployment control plane over servers you supply, while Rail…
- Featurenorthflank.com
How to run browser agents in secure sandboxes on Northflank
## TL;DR: how to run browser agents in secure sandboxes - Browser agents face a unique threat model because untrusted web content can contain prompt injection that influences the agent's actions, even…
- northflank.com
What should an audit trail for AI-agent code execution contain?
An AI agent can start an isolated environment, run commands, call an API, and create an artifact in one run. A shell transcript cannot show who delegated authority, which policy allowed the action, or…
- northflank.com
What infrastructure do AI agents need to run code safely?
An AI agent crosses a security boundary when it moves from suggesting code to running commands, reading files, or calling services. Model output can consume infrastructure, expose data, and change sys…
- northflank.com
12 best GPUs for AI and machine learning in 2026
## TL;DR: What is the best GPU for AI? The best GPU for AI depends on the model's memory requirements, whether you are training or serving it, and where the workload runs. These are useful starting po…
- northflank.com
How to run AI coding agents in a secure sandbox: Claude Code, Codex, Cursor, and OpenCode
## TL;DR: how to run AI coding agents in secure sandboxes - AI coding agents need sandboxes because they execute code, install packages, run shell commands, and make network requests autonomously - A …
- northflank.com
How to give your AI agent a secure computer
An agent that only calls a model can reason about work, but it cannot compile code, inspect a repository, manipulate files, run a browser, or keep a development process alive. Adding those capabilitie…
- northflank.com
How to deploy an AI sandbox for developer experimentation
Developer experimentation becomes an infrastructure problem when engineers or coding agents install unfamiliar dependencies, execute generated code, and connect prototypes to company systems. Running …
- Contentnorthflank.com
Top Dokploy alternatives for deploying applications in 2026
Dokploy is a self-hostable application deployment platform built on Docker Swarm and Traefik. Choosing an alternative depends on where you want to run workloads, how much infrastructure your team want…
- northflank.com
Preview environment troubleshooting: Common failures and how to fix them
A preview environment can fail before it exists, build successfully but never become ready, or look healthy while the feature under review is still broken. The visible error is often several steps awa…
- northflank.com
How to manage workloads across cloud, customer VPCs, and on-premises environments
### TL;DR: how to manage workloads across cloud, customer VPCs, and on-premises environments - **Use a unified control plane:** Manage deployments, configuration, and operations through a consistent i…
- Featurenorthflank.com
Use AWS launch templates
Northflank now supports AWS launch templates to customize EC2 instances in node pools for AWS clusters, overriding default configurations. Enterprise plans only, requiring IAM policy updates. Key use …
- northflank.com
On-demand vs reserved GPUs for AI workloads: Which should you choose?
One AI team needs eight GPUs for a fine-tuning run next week. Another serves a production model every hour of every day. Buying both teams' GPU capacity the same way either creates unnecessary commitm…
- Featurenorthflank.com
Which platforms support both CPU and GPU workloads in your own VPC?
Production AI applications rarely run entirely on GPUs. A GPU may handle training or inference, while CPU services authenticate requests, prepare data, coordinate jobs, and process results. If those c…
- northflank.com
AI-agent sandbox security checklist: What enterprises should evaluate
An AI agent can install packages, read files, call APIs, and change infrastructure. If its sandbox inherits broad access, a manipulated instruction can become an incident. A sandbox limits that blast …
- northflank.com
Preview environments for microservices: Architecture and common pitfalls
A preview environment for a single frontend can be one deployment and one URL. For microservices, the preview has to assemble compatible service versions, routes, databases, queues, workers, secrets, …
- northflank.com
Which platforms support forward-deployed control planes?
Running workloads in your own cloud does not always satisfy the strictest infrastructure policies. Your security team may also require the platform API, scheduler, deployment state, logs, and administ…
- northflank.com
How should an enterprise IDP support AI-generated software?
AI coding tools can produce applications faster than teams can review, deploy, and operate them. The risk is not that AI touched the code. It is that software can reach company systems without a named…
- northflank.com
BYOC vs self-hosting vs managed cloud: Which deployment model should you choose?
One team needs to ship a customer-facing application this week. Another must keep workloads inside an approved cloud account. A third operates in an environment where an external control plane is not …
- northflank.com
How to replace a DIY internal developer platform without disrupting software delivery
Replacing a DIY internal developer platform can be risky because it sits in the path from commit to production. A big-bang cutover can turn one platform failure into blocked releases, inconsistent env…
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