Resources
AI agents
Evaluate coding agents and build controlled software workflows with Claude Code and OpenAI Codex: comparisons, legacy maintenance and reliable unit tests.
A coding agent's output becomes useful when a team can understand, test and accept it. Explore independent comparisons, bounded legacy corrections and tests derived from business rules. Keep repository permissions and human review explicit throughout the workflow.
Explore the guides
Claude Code vs OpenAI Codex: a practical comparison for software teams
Compare Claude Code and OpenAI Codex on accepted changes, security, review effort and total cost, with a repeatable pilot for software services teams.
Legacy maintenance with Claude Code and Codex: a controlled team workflow
Use Claude Code and Codex for bounded legacy maintenance: trace behaviour, establish business rules, add regression tests and review a focused correction.
Unit testing with Claude Code and Codex: build a verifiable team workflow
Build reliable unit tests with Claude Code and Codex using independent business rules, boundary cases, executed checks and human review before acceptance.
Apply these methods to your team
Discuss a scoped pilot, the controls it needs and the evidence for a rollout decision.
- An engineer replies within one business day
- Free diagnostic, no commitment
- Member of the OpenAI and Anthropic partner networks