Coffee With Developers Jul 20, 2026

Evals vs. Evil - AI and Package Security - Laurie Voss

Laurie Voss

Laurie Voss warns that unchecked AI agents are poisoning open-source supply chains. Learn why entry-level coding is dead, and how strict spec writing will save your architecture.

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#1 about 3 min

Defining and implementing LLM evaluation strategies

Because traditional unit tests fail on variable LLM outputs, utilizing a separate model for evaluation serves as an effective testing substitute.

#2 about 2 min

Managing AI costs with open-source models

To mitigate volatile per-token subscription expenses, engineering teams can adopt open-source models that provide comparable performance at a lower cost.

#3 about 3 min

Assessing the real value of the agentic movement

While the agentic tech bubble persists, foundational models offer practical value by reliably converting unstructured data into structured pipelines.

#4 about 3 min

Combating AI slop in open-source projects

The careless misuse of AI generation tools is actively overwhelming open-source maintainers with a flood of low-quality, automated pull requests.

#5 about 3 min

Addressing supply chain attacks in package managers

To combat rising supply chain attacks fueled by AI-generated code, ecosystems must update default client configurations to prioritize repository security.

#6 about 3 min

Balancing developer velocity with vital security guardrails

As code generation tools drastically lower implementation costs, organizations must introduce robust automated guardrails to sustainably enable higher deployment velocities.

#7 about 3 min

Redefining developer roles and software architecture requirements

Since AI agents can now handle basic coding tasks, early-career engineers must pivot toward mastering software architecture and complex spec writing.

#8 about 2 min

The enduring value of in-person developer events

Despite the rise of remote tools, physical proximity and spontaneous human connections remain critical for cross-domain networking and career growth.

Matching moments

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

4:15 min

Security integration and AI skepticism in developer tooling

Chris Heilmann +2 · LIVE

5:16 min

Motivations for adopting AI to enhance developer productivity

2:05 min

The impact and risks of AI generated code

Chris Heilmann · LIVE

3:45 min

Balancing AI tool mandates with developer trust and productivity

Chris Heilmann +2 · LIVE

3:33 min

Navigating developer bottlenecks and human accountability

Werner Vogels Werner Vogels +1 · WWC Europe 2026

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

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The spectrum of agentic coding: From vibe coding to high-quality software engineering

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

Tomislav Tipurić

Chief Technology Officer, Nephos

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No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs

Emmanuel Acheampong

Senior Manager Developer Relations at Crusoe AI

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