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How Endava builds an agentic organization with Codex

OpenAI Blog 28 May 2026, 12:00 ● Covered by 2 sources

Endava implemented Codex to enable its organization to operate with AI agents, automating portions of software development workflows. The company reduced time spent on requirements analysis from weeks to hours. This approach allows Endava to accelerate software delivery and reallocate engineering resources to higher-level tasks.

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Learn how Endava uses Codex to build an agentic organization, accelerating software delivery and reducing requirements analysis from weeks to hours.

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TLDRocket 21 July 2026

The open-weight AI model market hit an inflection point today as Alibaba and Kimi released trillion-parameter competitors that challenge the closed-model orthodoxy—just as Washington moved to restrict them. Alibaba's Qwen 3.8 Max (2.4 trillion parameters) and Kimi K3 (2.8T) are going open-weight, with K3 ranking first on Frontend Web App Arena and fourth on agentic benchmarks, signaling that scale and transparency can coexist. The timing matters: while U.S. policymakers weigh layered restrictions on Chinese open models, technical experts are pushing back hard, arguing that closed gardens actually hurt security and competition more than they help. The real fragmentation risk isn't technical—it's regulatory.

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How Endava builds an agentic organization with Codex

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