Latest
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Shadow AI is leaving software teams dangerously exposed
Two thirds of organizations report exploits involving vulnerable LLM code.
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Why your boss is the biggest AI risk
Execs have been quick to caution developers about the risks of AI, but don’t seem to be taking their own advice.
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How LinkedIn built an AI hiring agent
To make AI agents sustainable for the long haul, engineering leaders need to keep users at the forefront of design.
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The rise of coding with parallel agents
Exponents see it as the future of software development. Do they have a point?
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 of engineering leadership
London • June 2 & 3, 2026
More about AI
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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?
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A smarter way to evaluate LLM applications
LLM evaluations are the ultimate quality gate for your product.