Latest
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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.
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Meta lifts the lid on its WhatsCode AI agent
The agent was able to increase privacy coverage 3.5x over 25 months.
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Are smart machines making us dumber?
Without a well-thought AI adoption strategy, you could be leading your team into an automation paradox trap.
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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The AI engineering curriculum
A reading list to help understand the latest paradigm shift in software engineering, as generative AI-powered coding tools enter the workforce.
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How engineering managers can use GenAI
7 ways engineering managers can use generative AI to help with non-coding tasks, from project planning to writing emails.
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95% AI-written code? Unpacking the Y Combinator CEO’s developer jobs bombshell
Garry Tan says YC startups are launching with 95% AI-written code. What does this mean for the shape and size of engineering teams?
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AI agents and the missing link in DevOps
AI agents aren’t just assistants anymore – they’re making decisions. Are engineers ready for the shift or are they just too skeptical?
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How AI generated code compounds technical debt
“I don’t think I have ever seen so much technical debt being created in such a short period of time”
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Framing AI rollouts in the right light
How can you introduce AI into teams in a way that doesn’t invite unrest within your org? It starts with presenting it in the right light.
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Will AI replace the agile coach?
Agile coaches are already using generative AI tools to help with key rituals and go deeper, quicker.