
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?
More about AI
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Why everyone’s suddenly talking about AI agents
What exactly are AI agents and how are they different from AI assistants?
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Why AI is creating more demand for managers
New research suggests that the adoption of AI is adding layers to organizational hierarchies.
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Learning to trust generative AI
Love it or loathe it, engineering leaders have to learn to live with generative AI, but can you ever really trust the model?
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How to evaluate AI performance when you have no domain expertise
If you have no experience with the domain you’re working on, that’s ok. Here’s how you can beat common problems and ensure success.
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Understanding the ‘Cambrian explosion of generative AI tools’
And other themes from the latest Thoughtworks’ Technology Radar
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Build an AI roadmap that actually delivers value
There are lots of things to consider before you dive into the world of AI. If you want to do it correctly, consider these core elements.
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How to choose the right generative AI vendor
With so much out there, it’s difficult to know which vendor is right for your company. Here are some things to get you started.
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In partnership with YLD
How to get started with GenAI
Successful adoption of Generative AI starts with a solid foundation, both with your data and your people.


