
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?
More about AI
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How to write an AI usage charter for engineers
Fostering buy-in with shared principles, not rules and mandates.
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Most companies still aren’t measuring AI coding tools
AI adoption is soaring, but 82% of organizations still aren’t measuring the impact of AI coding tools.
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Managing AI coding assistants without losing control
How to keep your grip when AI coding assistants are in the loop.
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Are you paying the AI competence penalty?
Mitigating bias against engineers who use AI coding assistants
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How to push back when execs are all-in on AI
When AI is seemingly everywhere, how can you make sure your org takes thoughtful steps?


