Latest
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What Tailwind teaches us about open source in the age of AI
The rise of AI coding tools is a stress test on open source software business models.
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Using AI to improve developer onboarding
AI’s strengths extend to smoother onboarding processes – but to what end?
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?
The festival for modern engineering leadership
London • June 2 & 3, 2026
More about AI
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5 uncomfortable predictions for engineering leaders in 2026
Home truths, not pie-in-the-sky predictions.
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AI-assisted coding and unsanctioned tools headline 2026’s biggest security risks
Predicting the biggest security threats in 2026.
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How engineering leaders can better leverage AI in 2026
Supercharge your leadership next year with these AI-powered workflows.
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Staff+ engineers are the key to AI adoption
As the organizational glue, staff+ engineers are best placed to bring in successful AI adoption.
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Deliver meaningful feedback in the age of AI
What happens when we delegate one of the most human parts of the job to AI?
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Hard-won lessons on building and scaling ML models
How small teams can deploy highly adaptable autonomous systems.
Top AI videos
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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
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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.
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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.
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Building the AI enablement playbook
Learn how to lead AI adoption by reshaping systems, culture, and operations, not just rolling out tools.
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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.
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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.
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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.
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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.