Coffee With Developers Apr 29, 2025

The Power of Prompting with AI Native Development - Simon Maple

Simon Maple

Simon Maple warns that using AI to patch codebases accelerates system degradation. Stop treating source code as your single truth. Embrace spec-centric development where code becomes completely disposable.

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#1 about 8 min

Using prototype coding to drive software specifications

Interactive prompting in prototyping tools highlights the need to value specifications over raw generated code.

#2 about 4 min

Identifying tasks where prompting and context limits fail

Large context windows decay tracking attention while sub-token character tasks inherently break modern language models.

#3 about 6 min

Mastering task framing and constraints for better outputs

Using sandwiching, structural tags, and upfront constraints aligns language model outputs with intended prompt instructions.

#4 about 4 min

Managing model differences through separated thought chains

Forcing language models to articulate context before performing requests leads to specific and cleaner functional outputs.

#5 about 7 min

Decoupling application requirements from software implementation

Code-centric development forces business logic and maintenance decisions into rigid repositories that cause requirements drift.

#6 about 11 min

Transitioning to specification-centric artificial intelligence development

Treating software specifications as the persistent source of truth enables adaptable and autonomous code generation.

#7 about 6 min

Navigating the evolving landscape of specification tooling

Addressing open challenges in version control and debugging establishes foundational standards for native development paradigms.

Matching moments

1:54 min

Shifting towards specification-driven AI development frameworks

Marcin Wawryszczuk Marcin Wawryszczuk · World Congress 2026 Europe

3:00 min

Understanding the shift from coding to prompting

Simon Auer Simon Auer · World Congress 2026 Europe

1:18 min

Addressing prompting challenges with spec-driven development projects

Julia Kordick Julia Kordick · Coffee With Developers

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

1:31 min

The shift from human prompt engineering to AI-generated prompts

Vitaly Friedman Vitaly Friedman · World Congress 2026 Europe

1:12 min

Improving and maintaining AI prompts for code generation

Dennis Doomen Dennis Doomen · World Congress 2026 Europe

Upcoming sessions on this topic

Open session

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Stage 3

Sandboxing the Swarm: Building Secure, Serverless AI Agents with Wasm

Thorsten Hans

Sr. Developer Advocate @ Akamai Technologies

Thorsten Hans
Open session

World Congress 2026 North America

September 23, 2026 · 13:40–14:10

Stage 2

Building an AI-Native Development Workflow

Vanessa Minik

Senior Service Delivery Engineer, GitHub

Vanessa Minik
Open session

World Congress 2026 North America

September 24, 2026 · 16:10–16:40

Outdoor Stage

When Humans Stop Writing Code: Rethinking Languages, Compilers, and Responsibility

Simon Auer

Organizer of flutter vienna meetup and CEO of marqably

Simon Auer
Open session

World Congress 2026 North America

September 24, 2026 · 14:25–14:35

Outdoor Stage

SecurePrompt: Building a Pre-Flight Security Layer for Agentic AI

Ravi Sastry Kadali

AI/ML Engineer at General Motors

Ravi Sastry Kadali
Open session

World Congress 2026 North America

September 25, 2026 · 14:10–14:40

Stage 1

The Broken Rung: How AI is Rebuilding Software Development from the Ground Up

Tomislav Tipurić

Chief Technology Officer, Nephos

Tomislav Tipurić
Open session

World Congress 2026 North America

September 24, 2026 · 15:30–16:00

Stage 7

Beyond Vibe Coding: Using CLI Tools as Your AI Counterpart in Pair Programming

Ron Veen

Java enthusiast and Special agent for Team Rockstars IT

Ron Veen