
Latest
-
Choosing a new AI-coding tool? Here’s what to look for
The right AI tool doesn’t just write code. It makes your team better.
-
Squarespace redraws the boundaries of platform engineering
How AI is reshaping the role of platform engineers.
-
Your AI-coding tools buying checklist for 2026
Evaluate today’s AI-coding tools with a practical checklist.
-
The latest tech layoffs have all the hallmarks of AI washing
Looking closer at the latest Block and Atlassian layoffs.
Editor’s picks
AI coding mandates are driving developers to the brink
Under pressure to embrace AI, developers are growing frustrated by misguided mandates and are left to clean up any collateral damage inflicted on their codebase.
Essential reading
The right way to make AI part of your tech strategy
With everyone scrambling to bake AI into their technical strategy, leaders may be resorting to unreliable and unscalable methods.
MCP and the future of AI tools
What is the Model Context Protocol (MCP) and how does it simplify data access, enhance AI reliability, and accelerate development?
On our AI playlist
FORTRAN’s AI Playbook: Leadership lessons from history
Learn proven leadership strategies from FORTRAN’s history to successfully adopt AI, upskill teams, and drive lasting transformation at scale
Measuring the impact of AI in engineering
Insights from LeadDev’s inaugural AI Impact Report.
From autocomplete to agents: AI coding assistance state of play
Everybody wants high reliability, but the path isn’t exactly clear. This talk is for people who need to know what works and what doesn’t.
Rethinking growing engineers in the age of AI
Explore how to grow future senior engineers in an AI-driven world that sidelines traditional junior roles.
Are you ready for AI agents?
AI is changing how apps get accessed – are your systems built to keep up?
More about AI
-
Stop throwing AI at developers and hoping for magic
Engineering leaders reveal a stark gap in AI adoption.
-
A model for growing the next generation of developers
AI is forcing a major rethink of entry-level career paths.
-
64% of female developers say AI is accelerating their careers
Yet women are 25% less likely to use AI tools.
Top AI videos
-
Navigating LLM Deployment: Tips, tricks, and techniques
Unlock best practices for deploying self-hosted LLMs—optimize performance, ensure reliability, and tackle real-world challenges in critical industries
-
From autocomplete to agents: AI coding assistance state of play
Everybody wants high reliability, but the path isn’t exactly clear. This talk is for people who need to know what works and what doesn’t.
-
Documentation and AI: How to write right now
Think AI can handle your documentation? Sometimes. This talk breaks down where it helps, where it doesn’t, and what still needs the human touch.
-
Building the AI enablement playbook
Learn how to lead AI adoption by reshaping systems, culture, and operations, not just rolling out tools.
-
Rethinking collaboration: LLMs, teams, and cognitive load
Discover how LLMs can reduce cognitive load, boost team collaboration, and reshape engineering workflows without compromising quality or delivery.
-
Rethinking growing engineers in the age of AI
Explore how to grow future senior engineers in an AI-driven world that sidelines traditional junior roles.
-
Launching a Gen AI powered travel companion: A case for tiger teams
Explore Booking.com’s journey in launching a Gen AI travel companion in 3 months, powered by a tiger team approach for rapid, focused product development and innovation.
-
Scaling your ML platform to enable the industrialisation of AI and ML development
Delve into the essentials of scaling ML platforms to industrialize AI development, with insights on prioritizing tools and requirements for efficient, large-scale model deployment.



