#codex

loveholidays, a European online travel agent processing 60 trillion package combinations daily, has deployed OpenAI's Codex to democratise software development across its organisation. Product managers, designers, and commercial teams now contribute directly to codebases without routing requests through engineering queues. The company created Search Playground, enabling non-engineers to prototype customer experiences; over ten new search experiences have been built this way, with at least three now live. Behind the scenes, Codex guides employees through data platform and infrastructure changes by encoding specialist best practices, raising successful AI-assisted changes from 58% to 93% and increasing platform changes fourfold per support request. Across loveholidays, AI-assisted code changes have risen from 7% to 79% in a year, deployments increased 73%, and engineering headcount remained flat. The company has realised measurable business value: the Data Engineering team reduced cloud storage costs by £36,000 annually and cut data-processing waste by approximately £100,000 per year. loveholidays frames this shift as building "general intelligence for travel"—making specialist expertise and development capability available across the business so the boundary between idea-holders and builders dissolves.

loveholidays, a European online travel agent processing 60 trillion package combinations daily, has deployed OpenAI's Codex to democratise software development across its organisation. Product managers, designers, and commercial teams now contribute directly to codebases without routing requests through engineering queues. The company created Search Playground, enabling non-engineers to prototype customer experiences; over ten new search experiences have been built this way, with at least three now live. Behind the scenes, Codex guides employees through data platform and infrastructure changes by encoding specialist best practices, raising successful AI-assisted changes from 58% to 93% and increasing platform changes fourfold per support request. Across loveholidays, AI-assisted code changes have risen from 7% to 79% in a year, deployments increased 73%, and engineering headcount remained flat. The company has realised measurable business value: the Data Engineering team reduced cloud storage costs by £36,000 annually and cut data-processing waste by approximately £100,000 per year. loveholidays frames this shift as building "general intelligence for travel"—making specialist expertise and development capability available across the business so the boundary between idea-holders and builders dissolves.

Asana used OpenAI's Codex to remove Enzyme, an outdated testing framework blocking frontend modernization, in roughly two weeks of engineering effort. The project cost approximately $12,000 in model and infrastructure fees, compared to an estimated $6 million and five-year timeline under the previous staffing plan. Asana's approach involved running up to four coding agents in parallel on separate codebase copies, with engineers reviewing proposed changes twice daily. This success has shifted the company's view of which long-running technical projects are now feasible to tackle, and the team plans to apply similar AI-assisted approaches to other migrations, rewrites, and performance improvements.

Asana used OpenAI's Codex to remove Enzyme, an outdated testing framework blocking frontend modernization, in roughly two weeks of engineering effort. The project cost approximately $12,000 in model and infrastructure fees, compared to an estimated $6 million and five-year timeline under the previous staffing plan. Asana's approach involved running up to four coding agents in parallel on separate codebase copies, with engineers reviewing proposed changes twice daily. This success has shifted the company's view of which long-running technical projects are now feasible to tackle, and the team plans to apply similar AI-assisted approaches to other migrations, rewrites, and performance improvements.