In this episode of The Context Window, Tracy Lee is joined by Elliott Fouts, Ben Lesh, and Brandon Mathis to break down what is changing right now in AI assisted software development.

They start with Cursor subagents and why the real win is fresh context windows that cut hallucinations, avoid compaction drift, and let agents run multi step work with less micromanagement. From there, they connect it to practical workflows like review and test passes, Git worktrees for parallel work, and using multiple models to compare answers for higher quality results.

They also tackle whether AI should be treated like a junior developer and why that framing can help set expectations but can also limit what teams try to do. The episode closes with a bigger take on competitive advantage, arguing that companies will win by building internal AI competency and safely connecting models to proprietary workflows and data, with a look at the viral OpenClaw trend and its security tradeoffs.

What You Will Learn

- How Cursor subagents work and why fresh context windows are the key to reducing hallucinations and compaction drift

- Practical ways to orchestrate AI agents for larger tasks without constant micromanagement

- When it makes sense to treat AI like a junior developer and when that mindset becomes a bottleneck

- How teams are using multiple models together to review work, compare answers, and improve output quality

- Why real competitive advantage comes from building internal AI workflows connected to your own tools and data rather than relying on generic chatbots

Tracy Lee on Linkedin: https://www.linkedin.com/in/tracyslee/

Ben Lesh on Linkedin: https://www.linkedin.com/in/blesh/

Brandon Mathis on Linkedin: https://www.linkedin.com/in/mathisbrandon/

Elliott Fouts on Linkedin: https://www.linkedin.com/in/elliott-fouts/

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Sponsored by This Dot Labs: ai.thisdot.co