The Reasoning Show

The Reasoning Show AI moves fast. Thinking clearly matters more.

The Reasoning Show cuts through the hype to explore how the smartest people in enterprise AI actually make decisions — the strategy, the tradeoffs, and the hard lessons no press release mentions.

Every week, hosts Aaron Delp and Brian Gracely sit down with the founders building the tools, investors funding the shift, and operators running AI in the real world. Not hype. Not panic. Just clear-headed conversations with people who have to make actual decisions.

Because the AI revolution isn't just happening. It's being reasoned through.

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The Reasoning Show

Halt & Retool: Rewriting Software Development in the Age of AI Agents

April 29, 2026 • Massive Studios

0:00 | 34:58

SUMMARY: Exploring how to fully embrace AI-driven, agent-based software development, resulting in dramatically increased productivity and faster feature delivery. It highlights a broader shift in engineering—from writing code to orchestrating AI agents.

GUEST: Sam Ramji, CEO/Co-founder at Sailplane

SHOW: 1023

SHOW TRANSCRIPT: The Reasoning Show #1023 Transcript

SHOW VIDEO: https://youtu.be/q50s0oL37pQ

SHOW SPONSORS:

Nasuni - Activate your data for AI and request a demo
ShareGate - ShareGate Protect. Microsoft 365 Governance, we got this!

SHOW NOTES:

1. The “Halt and Retool” Moment

A single-day build and deployment of a production feature triggered a company-wide realization
Paused all development to reassess how AI fundamentally changes engineering workflows
Creating “shock moments” (like stopping work) is key to driving mindset shifts

2. From Coding to Agent Orchestration

Developers are shifting from writing code → managing AI agents
Work resembles “multi-boxing” or conducting an orchestra of parallel agents
Success depends on coordinating tasks, not executing them directly

3. The Rise of Harness Engineering

Defined as everything between raw AI prompts and production-ready output
Focus: eliminating friction across the software development lifecycle
Key practices:
- Logging agent errors and friction points
- Continuously refining workflows and tooling
- Letting AI reflect on and improve its own mistakes

4. Spec-Driven Development Becomes Critical

Poor specifications lead to exponential inefficiencies
Teams now spend significantly more time on design and specs than coding

5. Measuring the Impact

~3x increase in code velocity
Near-zero “bit rot”
Faster feature delivery—sometimes within 24 hours

6. Token Maxing & Developer Fitness

Higher token usage often signals better workflows and deeper integration with AI
Performance becomes about system design, not efficiency constraints

7. New Tools & Interfaces

Increased use of voice interfaces over typing
Terminal-first workflows replacing traditional IDE-centric approaches
AI-accessible knowledge bases becoming standard

8. The Future of Software Engineering

Within ~6 months: developers may stop writing code
Within ~12 months: developers may stop reading code
Focus shifts to:
- Intent, design, and orchestration. Domain expertise and problem modeling

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