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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

Shownote

If you’re using AI to just write code, you’re missing out. Two engineers at Every shipped six features, five bug fixes, and three infrastructure updates in one week—and they did it by designing workflows with AI agents, where each task makes the next one ...

Highlights

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.
01:22
A two-person team using AI feels like a team of 15
03:20
Coding with AI encompasses research and workflow automation, not just writing code.
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
AI identifies root cause of form not being filled and generates fix
18:25
Claude Code runs continuously with high-quality output and minimal human intervention.
31:38
Fix problems at the lowest value stage in AI-augmented engineering
34:02
Human review of AI plans catches red flags early and saves time
39:14
Evals function like code tests to measure prompt effectiveness
49:12
Claude Code reduced a two-week project to a few hours

Chapters

Episode start
00:00
Introduction
01:16
Why Kieran believes agents are turning a corner
03:18
Why Claude Code stands out from other agents
06:36
What makes agentic coding different from using tools like Cursor
11:58
The Cora team’s workflow to turn tasks into momentum
15:20
How to build a prompt that turns ideas into plans
23:07
The new mental models for this age of software engineering
34:00
Why traditional tests and evals still matter
39:13
Kieran ranks all the AI coding agents he’s used
42:00

Transcript

Dan Shipper: You're figuring out how to do compounding engineering. There's two people on the team, but it really feels like there's 15. Kieran Klaassen: Coding with AI is more than just the coding part. Utilizing it for research, for workflows, it should...