Latest
-
AI-native development: How to actually get the most out of your agents
This talk covers spec-driven development as a way to give agents better constraints, large language model (LLM) gateway and routing strategies for managing which model handles which task, test-driven development adapted for an agent-first workflow, and verification practices built for the volume and pace of AI-generated code.
Editor’s picks
Cooking up a culture of continuous learning
Continuous learning is an important part of building a collaborative culture.
Build a productive code review culture
Code reviews can be tense and stressful if done incorrectly. Avoid bikeshedding and set good cultural standards with these nine simple steps.
Trust is the ultimate driver of engineering excellence
How can you improve the level of trust in your teams to bolster performance and encourage an inclusive culture.
Berlin • November 9 & 10, 2026
Fewer than 100 Wave 4 tickets left for LeadDev Berlin!
Book now and save up to €500.
Essential reading
How to build an intentional culture
Don’t leave your culture up to chance. Curate your principles and values intentionally to build high-performing, harmonious teams.
On our Culture playlist
Culture, Clarity, Velocity
This session explores how leaders can examine proposed changes and prepare their teams to move from a culture that impedes progress to one that enables strategic change.
Happy teams don’t leave
To retain talent, engineering leaders need to establish an engaging culture within their teams
From hurdles to highways: Crafting a collaborative experimentation ecosystem at GetYourGuide
Discover how GetYourGuide transformed its experimentation platform, navigating challenges to build a streamlined, collaborative, and innovative ecosystem for efficient testing and creativity.
How to build a culture of accountability in your teams
In this panel, we’ll discuss what a culture of accountability actually looks like in practice, and the role of the engineering leader in encouraging a culture of accountability, not blame, in busy developer teams.
Fostering a culture of experimentation in your engineering teams
How can engineering leaders help their reports find joy in their work?
2027 pre-sale tickets are live!
Join the conversations next year. Book now to secure the lowest price.
New York • September 8 & 9, 2027
More about Culture
-
Meet the tech workers taking a stand against ICE
Hundreds of tech workers are turning up the pressure on their employers.
-
The performative trap of public recognition
Ensuring your team members receive proper acknowledgement for their work extends beyond shallow praise.
-
Put an end to being the “go-to” engineer
Being the individual people run to in a fire may feel great short-term, but the negative effects can pile up.
-
How big tech fell out of love with remote work
The biggest tech firms are all firmly on one side of the RTO debate.
-
The cost of skipping hard conversations (and how to have them)
How avoidance can create to leadership debt.
-
What to do when you have a bad manager
The best way to deal with a bad manager is to meet them where they are.
-
Testing is a skill. Quality is a discipline.
As quality assurance makes way for quality engineering, how do you change mindsets?
Top Culture videos
-
The continuous thunderdome
This talk takes Steve Yegge’s “continuous thunderdome” as a starting point and shows how to make CI/CD work at planet scale, and how to solve the perennial problem that nobody wants to fix the build.
-
How we migrated from manual deploys to agent-driven development in under six months
This talk will dig into the technical and social details of Imprint’s migration to safely transition from manual deploys to continuous deployment with substantial agent-written PRs in under six months.
-
From SDLC to AI-DLC: Changing how software is built
AI agents may be making code faster to write, but they’re also shifting the bottleneck further down the delivery process. This talk explores why proven practices like progressive rollout, observability, feature flags, and automated rollback are becoming essential for teams adopting AI at scale.
-
The state of AI in software development: Insights across 500+ organizations
In this talk, Justin Reock, Deputy CTO at DX, will share a data-driven “state of the union” on AI in engineering, grounded in both quantitative data from thousands of developers and on-the-ground observations.
-
Your Slack has a neurotypical bias
The communication habits that place disproportionate cognitive load on neurodivergent engineers, and a one-sprint audit with three specific rewrites you can deploy immediately.
-
The shadow culture: Why engineering principles fail under load
Why engineering principles collapse under pressure, and how redesigning systems makes the right behavior the easy default.
-
Beyond timelines: Learning from incidents
How to run post-incident reviews that surface human, cultural, and psychological factors, turning incidents into deeper learning and resilience.
-
Rebuilding the kitchen: Human connection in distributed engineering teams
This is a practical, leadership-focused talk for managers who want their remote teams to feel connected, aligned, and human – not just productive.