Latest
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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?
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How to prepare for AI agents
How leaders can prepare with governance, culture, and a roadmap for responsible adoption.
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 conference for engineering leaders shaping the future of software
Berlin • November 3 & 4, 2025
Featuring
More about AI
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Breaking down Trump’s massive H-1B visa changes
Assessing the impact of a seismic shift for the US tech hiring landscape
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How to boost your management impact with AI tools
Developers got their AI moment. It is time engineering managers had theirs too.
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How to thrive during industry disruptions
It’s easy to feel like everything is being upended by AI, but this isn’t the first or last industry change to happen in tech.
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Ethics are being forgotten as the AI race heats up
Is the tech industry capable of the change needed to curb ethical and environmental concerns?
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Do junior devs still have a path to senior roles in an AI age?
LeadDev’s AI Impact Report 2025 explores the challenges and opportunities for early-career engineers as AI transforms coding, mentorship, and skill development.
Top AI videos
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Launching a Gen AI powered travel companion: A case for tiger teams
Explore Booking.com’s journey in launching a Gen AI travel companion in 3 months, powered by a tiger team approach for rapid, focused product development and innovation.
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Scaling your ML platform to enable the industrialisation of AI and ML development
Delve into the essentials of scaling ML platforms to industrialize AI development, with insights on prioritizing tools and requirements for efficient, large-scale model deployment.
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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?