AI can crank out code faster than ever, but most companies still run projects through legacy processes that shuffle work from one department to another. The result is a classic bottleneck: code races ahead while the organization crawls behind.

A new approach called Temp Squads fixes that mismatch by reorganizing people, not tools. The idea is simple—assemble a short-lived, mixed-skill team around a single business goal, let AI give each member a head start, then dissolve the team once the goal is met.

Why AI alone isn’t enough

Large-language models can generate functions, suggest refactors, and even write whole modules. Those gains vanish the moment a pull request stalls for handoffs across multiple departments, each in a different silo. The handoffs eat the time saved by AI, and extra meetings add further delay.

What organizations need is a way to keep the work inside a single, focused group from start to finish. That’s where the Temp Squad concept steps in.

The Temp Squad framework

A Temp Squad is a temporary, cross-functional team built to achieve one specific business outcome. Members keep their regular titles—backend engineer, UX designer, product owner—but they join the squad for the duration of the project. When the objective is delivered, the squad disbands and the permanent team assumes long-term ownership of the code.

Step-by-step implementation

  1. Define the Goal – The business states the “why” and the “what” of the desired feature or outcome. No detailed task list is required at this stage.
  2. Create the Milestone – Capture the goal on a single card that also lists risks, success metrics, and expected outcomes. This card becomes the sole reference between business and technology.
  3. Form the Temp Squad – Identify the exact skills needed—backend, frontend, UX, data, etc.—and pull those individuals together. They keep their regular duties elsewhere but allocate capacity to the squad.
  4. Use an Open-Source Model – Break the milestone into small, independent issues stored in a shared repository. Anyone on the squad can pick an issue when they have bandwidth, avoiding a rigid task-owner hierarchy.
  5. Apply AI Intelligence – An AI assistant scans each issue and proposes an implementation plan. The suggestion gives the developer a jump-start, but a human must review and approve it before any code is written.
  6. Dissolve the Squad – Once the milestone’s metrics are met, retire the squad. The permanent team inherits the new codebase for maintenance and future enhancements.

What makes it tick

  • Eliminates handoffs – All work stays within the squad, so tickets never pass through multiple departments.
  • Broadens skill participation – Designers, managers, and other non-engineers contribute directly to the codebase, aided by AI-generated scaffolding.
  • Cuts meeting load – One communication channel replaces the cascade of status updates across separate groups.
  • Preserves long-term ownership – The existing product team still owns the code after the squad folds, preventing “orphaned” features.

Potential downsides

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How to try it

Start small. Run a pilot on one project. Measure the results.

Takeaway: AI speeds up code creation, but without a matching organizational rhythm the gains evaporate. Temp Squads align people and machines around a single, well-defined goal, letting AI’s speed translate into real-world delivery.