
Latest
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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?
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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New study suggests major productivity boost when using Cursor’s coding agent
Is this the massive productivity benefit we’ve been waiting for?
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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?
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AI is changing the CTO role for the better (?)
How do industry leaders expect AI to change the foundations of their role?
Top AI videos
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Ethics in the age of AI: Strategies for mitigation and their historical context
Explore historical lessons on technology harms as Christina Entcheva discusses AI ethics, modern software engineering, and guidelines for product teams to mitigate risks.
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Have AI Got News for You
This talk ventures beyond the surface to offer you a compelling deep dive into the nuances of working with large language models (LLMs).
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Managing engineering teams in the era of AI
Drawing from my experience as Engineering Manager at incident.io, where I was part of a product team that built the company’s first AI-powered features, this talk combines personal insights and broader leadership strategies.
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Substrate engineering: Engineering foundations in a world of LLMs
We need to start investing much more in migrating to better programming languages, building better tooling, and authoring new frameworks where correctness is built in. What does that look like for your engineering organization today?


