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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Operating Multiple Coding Agents Without Chaos
A practical guide to multiple coding agents workflow: decisions, setup, failure modes, review evidence, and a repeatable acceptance test for engineering teams.
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From Pilot to Team Adoption: Scaling Agentic Coding
A practical guide to scale agentic coding adoption: decisions, setup, failure modes, review evidence, and a repeatable acceptance test for engineering teams.
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Debugging Failed Cloud Agent Runs
A practical guide to debug cloud coding agent runs: decisions, setup, failure modes, review evidence, and a repeatable acceptance test for engineering teams.
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Cost Control for Cloud Coding Agents
A practical guide to cloud coding agent cost control: decisions, setup, failure modes, review evidence, and a repeatable acceptance test for engineering teams.
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Metrics for Agentic Coding Programs
A practical guide to agentic coding metrics: decisions, setup, failure modes, review evidence, and a repeatable acceptance test for engineering teams.
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Build a Coding Agent Benchmark for Your Repository
A practical guide to coding agent benchmark: 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.