Try for free
Before The Commit
Before The Commit

Episode 32: Cursor

05 June 2026 1:06:58 Danny Gershman, Dustin Hilgaertner

Listen to episode

About this episode

The conversation covers the introduction to Cursor, the transition to Riverside, experimenting with Cursor and Crow, SpaceX's acquisition of Cursor, Cursor's evolution and future predictions, features of Cursor and comparison with other tools, Nvidia's RTX Spark, and a discussion on AI usage and Apple's AI performance. The conversation covers a range of topics including Apple's AI competition, Siri 2 and Gemini integration, challenges with AI assistants, GitHub's Co-Pilot billing shift, the AI coding arms race, recent AI model releases, new AI tools and models, Grok subscription and plateauing, Claude Code's workflows feature, understanding workflows and goals, US government's stake in OpenAI, implications of government involvement, executive orders and AI regulation, and Anthropic's position and government relations.

Takeaways

  • Cursor's evolution and future predictions
  • Nvidia's RTX Spark and its impact on AI usage Competition in the AI space is intensifying, with new releases and features from major players.
  • Government involvement in AI regulation and oversight is a growing concern.

Chapters

  • 00:00 Introduction to Cursor and News
  • 08:20 Experimenting with Cursor and Crow
  • 16:27 Cursor's Evolution and Future Predictions
  • 26:18 Nvidia's RTX Spark and Apple's AI Platform
  • 37:14 Apple's AI Competition
  • 43:12 Grok Build and Composer Integration
  • 52:21 Implications of Government Involvement
  • 57:23 Executive Orders and AI Regulation
  • 01:05:04 Government's Oversight of AI Models

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Before The Commit. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support