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CI was built for humans. Agents changed that. On Oct 22, we're showing how to make CI keep up without burning more compute. Register here: nx.dev/events/2026-oct-produ…
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Agents mean more code, more PRs, more pipeline runs. Oct 22, live: → Nx: updates so every run does less work → Nx Cloud: next-gen caching and distribution. Faster CI, less compute. All available the same day. Save your spot: nx.dev/events/2026-oct-produ…
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🚀 Nx 23.3 is out. - Task-based nx affected - Agent-friendly task output - Batched Oxlint runs - Faster project graph creation - Cypress 16, Vitest 5, pnpm 12 And more. All the details 👇 nx.dev/blog/nx-23-3-release
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One more thing: on Oct 22nd we're hosting a product event with a big announcement about scaling CI for the flood of PRs and tests your agents produce. Register here 👇 nx.dev/events/2026-oct-produ…
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Nx v24 lands in a few weeks and drops the built-in executors, now replaced by inferred targets. Inferred targets use your tool’s own config to get runnable targets and cache inputs/outputs. @meeroslav got you covered with all the details: nx.dev/blog/look-mum-no-exec…
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A 3-person platform team runs CI for a 600+ project Nx monorepo. With Nx Agents on Nx Cloud they: - maintain half the CI config and don't re-shard as new projects land - trust the cache again, thanks to task sandboxing How @WeAreLegora got there: nx.dev/blog/legora-success-s…
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You can add Nx to an existing pnpm workspace without restructuring anything. Install nx at the root, add a small nx.json with your targetDefaults, and run tasks across every project with nx run-many. Caching and task ordering come from there.
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Given the current explosion of PRs, distribution on CI is a must. But when hundreds of tasks spread across machines it can get tricky to stay on top of what needs your attention. Now you can, introducing the new Timeline View. nx.dev/blog/nx-cloud-timelin…
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You can click on an agent to get machine details, like - the executed workflow steps - CPU and memory usage - processed tasks
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With AI being non-deterministic and pushing 10x the amount of code, enforcing consistency is more important than ever. Custom code generators can be one mechanism to counter that: - more token-efficient - deterministic - let AI agents create & run them nx.dev/blog/agent-extract-nx…
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