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Parker Rex DailyMay 1, 2025

This AI Setup Will Outperform My Old Engineering Team

How an AI tool stack (Taskmaster, Klein, Windsurf, Copilot) can outpace a traditional engineering team, with Meta AI apps shaping SAS growth.

Show Notes

This quick dive lays out how to stitch together AI agents like Taskmaster, Klein, Windsurf, and friends into a practical, end-to-end product workflow—not a single tool doing all the work.

Tooling landscape

  • Taskmaster: acts as the product manager, keeps the team focused on priorities.
  • Klein: complements with planning and orchestration (strong in memory and context handling).
  • Memory Bank: the “architect brain” that keeps up-to-date project context, diagrams, and references.
  • Windsurf / Windsurf Next: execution layers that run tests, implement changes, and execute tasks.
  • Ader, Copilot: additional capabilities to fill gaps in analysis, coding, and automation.
  • Cursor: enables browser-level interactions and integration with live web work.
  • MCP (multi-tool chat bridge): lets you talk to tools like Cursor; still learning to be perfectly consistent across tools.
  • The key idea: no single tool is a silver bullet. Glue the strengths of each to cover the full lifecycle.

Design philosophy and process

  • Shape Up guidance matters: start with why, sketch rough solutions, time-box, and guard against rabbit holes and no-gos.
  • PRD framing: use a simple template to capture what, why, and how engineers will solve it; don’t over-design upfront.
  • Why first, then how: dedicate real thinking time to defining the problem and value before chasing a flashy prompt.
  • Timeboxing and scope management: set a real, tester-friendly time box to avoid feature creep.

From old processes to agentic tooling

  • Historical flow: conception, initiation, market analysis, design, build, test, deploy.
  • Agile/lean/Google 5-day sprint: faster cycles, but not a guaranteed win for every team.
  • Shape Up shift: plan in six-week rhythms, prioritize problems, and iterate on the solution without over-committing to perfect designs early.
  • Agentic approach: map each phase to a different agent with strengths; you’re not chasing one “universal AI,” you’re orchestrating a stack.

How Parker glues the stack together

  • Pre-work with a PRD pitch: define the problem space, the why, and the high-level solution before touching code.
  • Agent roles alignment: analysis, design, construction, testing, deployment are distributed across tools; one tool doesn’t do it all.
  • Avoid one-size-fits-all: keep Taskmaster for PM duties and Memory Bank for the architecture, while Cursor/Windsurf handle execution.
  • Interface integration: currently separate, with gaps; potential glue via prompts or CLI wrappers to simplify cross-tool workflows.

Practical takeaways you can apply

  • Do the pre-work up-front: outline the Why and the core problem before prompting AI.
  • Use Shape Up as your north star: start with a PRD, sketch the solution, time-box, and document risks (rabbit holes, no-gos).
  • Map prompts to the PRD: structure prompts so they advance the plan rather than just generate outputs.
  • Treat tooling as a stack, not a single fix: assign roles to components (PM, architect, executor) and optimize their handoffs.
  • Start small with live builds: Parker plans 20-minute live build episodes to show glue-work in real life.
  • Keep the iteration cadence practical: don’t chase a perfect stack; get several working integrations and improve them incrementally.
  • Want the prompt template? Comment “prompt” below; there’s a keyboard shortcut (F1) to pull pre-work prompts.

Ongoing experiments and content plan

  • Weekly live builds: 20-minute episodes showing real-world uses of the stack.
  • Three-part-per-week live build series planned on the main channel; daily channel will feature updates and quick insights.
  • Focus areas: how to glue Taskmaster, Klein, and Cursor/Windsurf into a coherent workflow for a real project.

Upcoming and current projects

  • School offering: half off now, rising to full price after launch.
  • ivibewithi.com: Parker’s rolled-into AI-powered school/community project.