
Latest
-
AI-generated abandonware is hollowing out open source
When everyone can build, the scarce resource becomes maintainers.
Editor’s picks
What is a staff engineer? Technical leaders who aren’t managers
Staff engineers are technical leaders who have deep domain knowledge, walking the line between tech and the business.

New York • September 15-16, 2026
Full LDX3 lineup is here 🙌
Essential reading
On our StaffPlus playlist
How to master the four Staff archetypes and elevate your impact
While the specifics of the job can vary widely, Will Larson has famously categorized the Staff+ experience into four archetypes: Tech Lead, Architect, Solver, and the Right Hand.
Understanding the role as a Staff engineer
How to define, develop and deliver in your role on the technical track.
How to balance technical direction and leadership work
But as is often the case in business, priorities constantly shift and where you focus your efforts will too. So how do you strike the right balance between working on the technical direction of the business and those tasks that require you to put your leadership hat on?
Start with an exit in mind: How to be effective by being selfish as a staff engineer
Staff engineers often get overwhelmed by long-term ownership of critical projects. This talk explores how to avoid burnout by starting every project with an exit strategy—whether transferring ownership, pausing or bootstrapping a team.
More for Staff engineers
-
How to find a tribe of mentors
Finding mentors across different verticals can be the key to unlocking the next level of your career.
-
Ageism is squeezing everyone out of tech jobs
Tech companies are steering clear of both younger and older generations.
-
Is “agent-shoring” the end of software team offshoring?
The days of offshoring software development could be numbered
-
Your first team is the key to org-wide efficiency
Alignment with your peers is the best way to secure cross-team success.
-
The performative trap of public recognition
Ensuring your team members receive proper acknowledgement for their work extends beyond shallow praise.
Videos for Staff engineers
-
Game time: A playbook to (unsuccessfully) 10x in a week and (successfully) 10x in a year
A candid scaling story about why rushed 10x efforts fail, and how disciplined metrics, culture, and architecture win over time.
-
Rethinking how distributed teams deliver complex tech
Practical patterns for delivering complex work across distributed teams while improving inclusion, decision quality, and team autonomy.
-
In partnership with incident.ioAccelerating sustainably with AI
Scaling AI coding across teams requires culture shifts, standards, documentation, and thoughtful sustainable engineering practices.
-
Planning next moves: Improving performance when half your stack is someone else’s problem
Learn how to measure latency, set realistic goals, and improve performance even when critical parts of your system are out of your control.
-
Four dimensions of burnout: An anti-burnout framework for the AI era
A practical framework to help engineering leaders recognize burnout early, rebalance demands, and recover while staying effective and healthy.
-
Guardrails, not gates: Scaling juniors in the AI era
How automated guardrails let junior engineers ship faster with AI, while protecting quality, safety, and senior reviewer sanity.
-
Building for reliability
Reliability emerges from systems, teams, and decisions. Learn how to design, operate, and scale it intentionally.
-
In partnership with HarnessUnlocking ROI through development, release, and experimentation velocity
Learn how faster, more reliable delivery pipelines can unlock experimentation ROI, improve release confidence, and drive compounding gains across teams.
-
Dojo’s leap from 90 clusters to one golden path
How a single golden path replaced massive platform sprawl, delivering self-service, safer defaults, and real operational leverage.
-
Designing neuro-inclusive incident management
Learn how small, intentional changes to incident management reduce cognitive load, support neurodivergent engineers, and strengthen system reliability.
-
AI killed the coding interviews. Here’s what Meta built instead
How Meta replaced traditional coding interviews with AI-native hiring that measures adaptability, communication, and real-world engineering judgment.
-
In partnership with SoftwireTechnology advances; history repeats itself
Learn how to protect engineering culture, leadership judgment, and technical depth as AI and rapid change reshape the industry.






