AI system / OpenAI

Codex. From assignment to reviewed diff.

A fast code draft is insufficient if it leaves regressions or unclear responsibilities. We configure Codex around bounded tasks whose changes your team can understand, review and adopt.

WERKVERSTAND / CONNECTING INTELLIGENCE

The essential answer

Codex can support work on software and files. Dependable use combines a clear assignment, the right environment, bounded permissions and meaningful tests. The accepted change, including review effort, matters more than the amount of generated code.

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From overview to practice.

A clear starting point for your task, with practical decision support and explicit limits.

14 pages to explore

OpenAI2 min

AGENTS.md for Codex

AGENTS.md for Codex. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI2 min

Codex app, CLI or IDE extension

Codex app, CLI or IDE extension. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI2 min

Codex automations for teams

Codex automations for teams. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI2 min

Codex Cloud for parallel tasks

Codex Cloud for parallel tasks. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI2 min

Codex pricing and limits

Codex pricing and limits. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI2 min

Codex security: sandbox and approvals

Codex security: sandbox and approvals. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI2 min

Create Codex skills

Create Codex skills. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI2 min

Install Codex CLI

Install Codex CLI. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI2 min

Set up Codex in the desktop app

Set up the Codex app. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI2 min

Set up MCP for Codex

Set up MCP for Codex. A practical guide with a controlled workflow, clear operating boundaries and testable decision criteria.

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OpenAI3 min

Build an internal tool with Codex: from bottleneck to pilot

A Codex pilot for SMEs: choose a recurring data workflow, isolate changes and hand over an internal tool with clear acceptance criteria.

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Claude

Claude Code vs Codex: the task decides.

Compare Claude Code vs Codex by task, data, integration, governance and operations. No generic ranking, but clear decision criteria.

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OpenAI

Integrate Codex into your engineering workflows.

Codex Business Implementation: repository and role model, sandbox, cloud environment, tests and rollout. Werkverstand supports selection, implementation and handover for your team.

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OpenAI

Scale Codex while retaining quality and access controls.

Codex Enterprise Rollout: identity, policies, environments, audit, evaluation and operating model. Werkverstand supports selection, implementation and handover for your team.

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01 / FIT

A good fit when

  • a repository, reproducible build and professional acceptance process exist
  • bugs, small features or internal tools can be scoped clearly
  • changes should be assessed through diffs and tests

02 / LIMITS

Not the first choice when

  • production changes are expected without an accountable reviewer
  • the task is expected to work only through unrestricted administrator access
  • missing tests would be replaced by trust in the AI

A complete assignment reduces review friction

Provide the observed problem, expected behaviour and relevant constraints. A useful assignment also states what counts as evidence: a reproducible test, correctly rendered state or measurable behavioural change. For an initial pilot, choose a bounded task with a known target. Review changes unrelated to the assignment separately.

Sandboxing and approval operate at different levels

The sandbox technically constrains what executed commands can access; the approval policy governs required confirmation. Documented defaults restrict write permissions and network access, but configuration can vary by environment. This does not mean the whole product works offline. Before the pilot, review the effective file, network and tool permissions.

Distinguish cloud setup from agent execution

Codex Cloud setup can use network access to install dependencies. The agent phase has its own network rules. Assess these phases separately for your workflow. Keep required package sources, test data and interfaces explicitly bounded. A test that works only with uncontrolled production access is not yet a suitable implementation path.

Example: an internal form with clear acceptance

A team wants to improve required fields and error messages in an internal form. Codex works on an isolated change, runs the intended tests and provides a reviewable diff. The reviewer checks keyboard use, invalid inputs and existing form paths. The change is adopted only after acceptance. The pilot also measures manual correction and review time.

Assess implementation against the repository

The AI System Check identifies stalled engineering work and existing prerequisites. Repository rules, test commands, permissions and review routes can then be configured concretely. If the build or documentation first needs repair, that effort is made visible. Successful implementation should reduce the team’s workload while preserving maintainability.

Decision matrix

CheckBefore the pilotEvidence
Starting stateBranch or worktree with a known starting commitDiff contains the intended change
PermissionsBound files, commands, network and toolsThe permitted workflow works within the boundary
QualityDefine acceptance and regression testsTests plus professional review
ValueRecord baseline effortCompare total time including rework

Keep it verifiable

Primary sources

The next sensible step

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Eight steps from a general interest in AI to a clearer decision for your business.

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