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Best of the Pod: Claude Code - How Two Engineers Ship Like a Team of 15

AI & I

2025/11/19
AI & I

AI & I

2025/11/19
In this episode of AI & I, Dan Shipper explores how AI agents are transforming software engineering with Kieran Klaassen and Nityesh Agarwal from Every’s Cora team. Rather than simply automating code, they’re redefining development workflows to create compounding efficiency gains—turning a two-person team into a high-output engineering force.
Kieran and Nityesh demonstrate how using AI agents like Anthropic’s Claude Code enables them to ship features, fixes, and infrastructure updates at unprecedented speed. By integrating AI into every stage—from planning to debugging—they’ve built a self-reinforcing workflow where each task accelerates the next. Unlike traditional tools such as Cursor, Claude Code operates agenticly in the terminal, accessing system files, running commands, and analyzing git history to make intelligent decisions. They emphasize crafting effective prompts, using mental models from *High Output Management*, and catching issues early. Human oversight remains critical, with AI outputs reviewed and tested rigorously. Kieran ranks Claude Code as the most impactful AI coding assistant he's used, citing its autonomy, adaptability, and ability to handle complex, multi-step tasks across the development lifecycle—proving that the future of engineering isn't just AI-assisted, but AI-amplified.
01:22
01:22
A two-person team using AI feels like a team of 15
03:20
03:20
Coding with AI encompasses research and workflow automation, not just writing code.
06:48
06:48
Claude Code can check git logs to show what was shipped in the last week, including features, bug fixes, and infrastructure updates.
12:06
12:06
AI identifies root cause of form not being filled and generates fix
18:25
18:25
Claude Code runs continuously with high-quality output and minimal human intervention.
31:38
31:38
Fix problems at the lowest value stage in AI-augmented engineering
34:02
34:02
Human review of AI plans catches red flags early and saves time
39:14
39:14
Evals function like code tests to measure prompt effectiveness
49:12
49:12
Claude Code reduced a two-week project to a few hours