Code moves
to the cloud.
Learn how autonomous coding agents plan, build, test, and return reviewable work from secure remote environments—without outsourcing engineering judgment.
From delegation to evidence.
Begin with the operating model, make the environment reproducible, then design the security boundary before a real repository enters the loop.
The complete field guide
What cloud coding agents are, where they fit, and what a safe handoff looks like.
Configure the sandbox
Pin runtimes, install dependencies, control the network, and prove a clean build.
Threat-model the run
Map untrusted instructions, effective authority, secret exposure, and review gates.
Six layers. One reviewable outcome.
Navigate by the decision in front of you—from first principles and platform fit to sandboxes, controls, team habits, and operating metrics.
Foundations
Task fit, async work, sandboxes, pull requests, and human judgment.
02 / CHOOSEAgent platforms
Codex, Copilot, Jules, GitLab, and a repository-first comparison method.
03 / PREPARECloud environments
Setup, dependencies, secrets, networks, databases, and monorepos.
04 / CONTAINSecurity & governance
Threat models, prompt injection, least privilege, gates, and audit.
05 / DELEGATETeam workflows
Issues, AGENTS.md, decomposition, tests, bugs, and upgrades.
06 / IMPROVEOperations & evaluation
Benchmarks, metrics, cost, failed runs, rollout, and orchestration.
Compare the workflow, not the demo.
Every platform guide starts from the same question: can it complete your task inside your boundary with evidence a reviewer can trust?
Codex
Cloud environments, setup phases, network controls, and repository handoff.
READ SIGNAL ↗GITHUBCopilot
Issue-to-pull-request work inside GitHub’s repository and review model.
READ SIGNAL ↗GOOGLEJules
Sources, sessions, plan approval, activities, and asynchronous work.
READ SIGNAL ↗GITLABDuo Agents
Agents, flows, custom tools, identity, and platform governance.
READ SIGNAL ↗Fresh signals from the field.
Recent guides from across the system, ordered by their original publication dates.
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GitHub Copilot vs GitLab Duo Agents for Cloud Development
Learn how to evaluate GitHub Copilot vs GitLab Duo agents with clear controls, review evidence, failure handling, and a repeatable acceptance test.
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Jules vs Codex for Asynchronous Coding Tasks
A practical guide to Jules vs Codex: decisions, setup, failure modes, review evidence, and a repeatable acceptance test for engineering teams.
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Cloudinary vs imgix for Cloud Image Pipelines
Compare Cloudinary vs imgix for agent-built cloud apps, including capabilities, tradeoffs, security, and a reproducible implementation test.
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Codex vs GitHub Copilot Cloud Agent: A Repository-First Comparison
Learn how to evaluate Codex vs GitHub Copilot cloud agent with clear controls, review evidence, failure handling, and a repeatable acceptance test.
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GitLab Duo Agent Platform: Agents, Flows, and Governance
A practical guide to GitLab Duo Agent Platform: decisions, setup, failure modes, review evidence, and a repeatable acceptance test for engineering teams.
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Google Jules: A Practical Cloud Coding Agent Workflow
A practical guide to Google Jules coding agent: decisions, setup, failure modes, review evidence, and a repeatable acceptance test for engineering teams.
Start with a task your team can prove.
Build a repository benchmark before you pick a platform.