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Tired of waiting for AI to generate code while you lose your focus? What if your AI coding partner could work completely in the background? This video reveals a practical parallel development workflow that eliminates dead time and lets you and an AI agent work asynchronously, dramatically boosting productivity. In this tutorial, we demonstrate how to move beyond simple chat prompts and into a true parallel workflow. The key is using your existing issue tracker to create detailed, self-contained specifications that serve as formal tickets for an AI coding agent. We'll walk through how to structure these specs so an AI can understand and execute them autonomously. You'll see how to assign these specified tasks to a background AI agent, allowing it to work on complex coding tasks independently. This method effectively eliminates constant context switching and waiting. You can focus on core architecture, review other code, or tackle different problems while the AI partner builds features in the background. *Key Takeaways:* • Transform issue tracker tickets into detailed, formal specifications for AI agents. • Assign these specs to background AI agents for truly asynchronous, parallel work. • Eliminate developer dead time and context switching by offloading complex tasks. • Maintain your focus and flow state while AI handles implementation autonomously. What’s the first task you’ll offload to a parallel AI agent? Let us know in the comments below! If this workflow helps you reclaim your focus, give this video a like 👍. Subscribe for more actionable developer productivity tips. #AIcoding #ParallelDevelopment #SpecificationDriven #DeveloperProductivity #AIassistedCoding #AsyncWorkflows #CodingAgents #DevTools #SoftwareEngineering #AIforDevs #CodeGeneration #WorkflowOptimization #TechTutorial #ProgrammingTips #FutureOfCoding #AIinTech #DeveloperLife #CodeEfficiency #TechInnovation #LearnToCode