Latest
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Demand for engineering managers is surging in the agentic coding era
Just not necessarily to be managers…
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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Shipping faster, thinking less? The AI code verification trap
AI made code cheap. Verification is now expensive.
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The AI skills gap is real (but it’s not what you think)
Engineering teams are racing to close the AI skills gap.
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Axios hack exposes AI-coding’s dependency problem
AI’s overreliance on dependencies is risky business.
Top AI videos
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Beyond the hype: Practical steps to establishing and scaling your data & ML team
Discover how to build and scale a data team, implement practical machine learning, and drive success with data-driven decision-making in a growing company.
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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?