Chris Heilmann, Daniel Cranney & Julia Kordick
WeAreDevelopers LIVE - SpeculAItions
#1about 3 minutes
Using AI agents for large pull request reviews
AI agents can help break down and analyze large pull requests, but the fundamental need for security controls in software engineering remains critical.
#2about 5 minutes
Identifying the formulaic patterns of AI-generated text
AI-generated content often follows predictable formulas, from talk proposals to social media posts, with different models like Claude and ChatGPT exhibiting distinct personalities.
#3about 4 minutes
Questioning the narrative of 10x developer productivity
The push to run multiple AI agents simultaneously creates pressure for unrealistic productivity gains, raising questions about its practical application and the risk of burnout.
#4about 5 minutes
Meta's acqui-hire of Moldbook and the problem of AI slop
Meta's acquisition of the Moldbook creators highlights a trend towards agent-only networks, while the decline of platforms like BuzzFeed signals a broader issue with low-quality, AI-generated content.
#5about 5 minutes
AI offers modest productivity gains, not 10x improvements
Real-world studies suggest AI provides around a 10% productivity boost, not 10x, and can lead to cognitive overload or "brain fry" by shifting work from creation to review.
#6about 7 minutes
Exploring recent AI incidents and creative developer hacks
The AI Incident Database tracks real-world failures, like Chipotle's unsecured chatbot, while developers create clever hacks such as using YouTube as a free file CDN.
#7about 4 minutes
A modern look at HTML tables and JavaScript dates
A review of fundamental web technologies covers the power of semantic HTML tables, the new JavaScript Temporal API for handling dates, and a CSS trick for stable number rendering.
#8about 6 minutes
Playing a game of "Fake or News" with tech headlines
A fun segment challenges the hosts to distinguish between real and fabricated tech news headlines, covering topics from crypto scams to brain-controlled browsers.
#9about 7 minutes
Using the Ralph Wiggum method for agentic coding
The Ralph method involves letting an AI agent iterate naively in a simple loop to solve a problem, offering an alternative to detailed micromanagement and prompt engineering.
#10about 6 minutes
How agentic AI forces a rethink of software engineering
The rise of agentic AI prompts a re-evaluation of the entire software development lifecycle, from team structures to the potential for AI-native programming languages.
#11about 5 minutes
The growing challenge of human-like AI interaction
As AI becomes more human-like for applications such as mental support, it becomes increasingly difficult to detect AI-generated content, leading to the proliferation of fake online personas.
#12about 1 minute
Final advice for critically engaging with AI content
The key to navigating the modern internet is to critically question all content and to always add your own unique voice and perspective to anything generated by AI.
Related jobs
Jobs that call for the skills explored in this talk.
Wilken GmbH
Ulm, Germany
Senior
Amazon Web Services (AWS)
Kubernetes
+1
Matching moments
03:23 MIN
Introducing spec-driven development for agentic AI
Building and Modernising Apps with Agentic AI - Julia Kordick
02:47 MIN
Final perspectives on the future of AI in software
From Monolith Tinkering to Modern Software Development
02:11 MIN
Shaping the future of AI in software development
Developer Experience in the Age of AI
02:37 MIN
The developer's evolving role in the age of AI
Designing the Future of Human<>Agent Collaboration
10:29 MIN
Exploring the future of AI in FinTech
OpenAI for FinTech: Building a Stock Market Advisor Chatbot
04:29 MIN
Exploring AI, developer metrics, and inner sourcing
Building Developer Experience - Brick by Brick
06:53 MIN
Navigating the impact of AI on developer relations
The Strategic Power of DevRel: From Community to Business Impact
04:28 MIN
A software developer's perspective on building AI prototypes
Bringing the power of AI to your application.
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Amazon.com, Inc
C++
Java
Python
Machine Learning






