AI is writing your code. Who's watching the AI? Before The Commit explores AI coding security, emerging threats, and the trends reshaping software development. Hosts Danny Gershman and Dustin Hilgaertner break down threat models, prompt injection, shadow AI, and practical defenses — drawing from experience across defense, fintech, and enterprise environments. Companion to the book Before The Commit: Securing AI in the Age of Autonomous Code. No hype, just tactical insight for developers, security engineers, and leaders building in the AI era.
In this episode, the hosts discuss Opus V, Cursor subscriptions and usage, and the concept of graph engineering in AI workflows. They provide feedback on Opus V, compare it to 4.8, and share their experiences with Cursor subscriptions. They also delve into the principles of graph engineering and its practical application in AI workflows, highlighting the benefits of parallelized work and the optimization of AI usage. The conversation delves into the concept of graph engineering and its application in creating connections between siloed information. It then explores the idea of extremely long-term autonomous agents and the need for continuous supervision and adaptation. Finally, it introduces Grokbot, a new tool that operates as a messaging app with each contact being a different bot, allowing for chaining of tasks and interactions between bots.
Takeaways
Opus V feedback
Cursor subscriptions and usage
Graph engineering and its application in AI workflows Graph engineering is about using a graph as a foreign key database of connections between siloed information.
Graph engineering enables extremely long-term autonomous agents, allowing for continuous supervision and adaptation.
Grokbot is a new tool that operates as a messaging app with each contact being a different bot, allowing for chaining of tasks and interactions between bots.
Chapters
00:00 Graph Engineering in Practice
25:32 Graph Engineering and Graph Rag
35:11 Extremely Long-Term Autonomous Agents
45:52 Introduction to Grokbot
15 Jul 2026
Episode 34: One Year Annivesrary
The conversation covers the release of Grok 4.5, the comparison between Cursor and Claude code, and the evolution of AI coding tools. It also delves into the impact of these tools on coding workflows and the changing landscape of AI-powered development. The conversation delves into the impact of AI on job roles, the evolution of software development, and the need for market integration for software products. It explores the changing landscape of job roles due to AI, the rapid evolution of software development processes, and the necessity for a new approach to market integration for software products.
Takeaways
Grok 4.5 release
Cursor vs. Claude code
Evolution of AI coding tools Impact of AI on Job Roles
Evolution of Software Development
Market Integration for Software Products
Chapters
00:00 Grok 4.5 Release and SpaceX IPO
02:32 Comparison: Cursor vs. Claude Code
03:02 Evolution of AI Coding Tools
39:41 The Impact of AI on Job Roles
41:25 Evolution of Software Development
01:20:11 Market Integration for Software Products
30 Jun 2026
Episode 33: Agentic Loops
The episode delves into the concept of forward deployed engineering (FDE) and its significance, highlighting the challenges faced by established companies in adopting AI. It also explores the shift from SaaS to utilities and the impact on SaaS companies. The tool of the week, 'Loops,' is discussed in detail, emphasizing its power in automating recurring tasks and enabling self-improvement. The conversation delves into advanced prompts and loops, the concept of goals and verifiable end states, financial optimization in AI spend, the shift to agent-based workloads, the future of AI models and providers, quality assurance and AI tools, token usage and model optimization, misconceptions about AI training, government work and AI training, and upcoming episode announcements.
Takeaways
The premise of forward deployed engineering and its role in integrating and ushering people into AI usage
The shift from SaaS to utilities and the impact on SaaS companies, as well as the value of platforms AI models and providers are evolving rapidly, impacting market dynamics and competition.
Balancing token optimization with model quality is a critical challenge in AI implementation.
Chapters
00:00 Introduction to Forward Deployed Engineering
08:00 Challenges for Established Companies
28:26 Exploring the Tool of the Week: Loops
38:22 Advanced Prompts and Loops
44:13 Financial Optimization and AI Spend
51:30 Future of AI Models and Providers
01:00:29 Token Usage and Model Optimization
01:06:48 Government Work and AI Training
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Apple Podcasts (US)
3.0 / 5
2 ratings
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