Latest
-
AI coding assistants aren’t really making devs feel more productive
New research runs counter to the hype around AI coding assistants.
-
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.
-
Navigating LLM Deployment: Tips, tricks, and techniques
Unlock best practices for deploying self-hosted LLMs—optimize performance, ensure reliability, and tackle real-world challenges in critical industries
Editor’s picks
Productivity isn’t always fast
It can often feel like we aren’t being productive unless we’re working at max speed. But slow productivity is here to subvert that idea.
How to speed up code reviews
Code reviews don’t have to be painful. Here’s how to embrace tools and more collaborative processes to raise the bar on your review cycle.
Maintain team performance during unexpected change
You’ll have to experience change management at least once in your career. Make sure your teams can maintain performance through it all.
October 15 & 16, 2025
Agendas for New York events are live! 🙌
Essential reading
Should the daily stand-up die?
Will the real agile developers please stand up? Please stand up. Please, stand up.
On our Velocity playlist
Engineering owns velocity
In this talk, I’ll explore what engineering leaders need to do to credibly own velocity and deeply align their work with the company strategy.
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.
Goldilocks doesn’t need your story points or your t-shirts
Ben Murray believes there is only really one question you need to ask: is this task small enough?
How to drive pace in your team ??♀️
Alicia Collymore delivers actionable advice that’ll help you to improve your teams’ delivery and pace without a data-first approach.
Planning for success when scaling rapidly
Create goals, prioritize effectively, set expectations, and drive alignment.
Agendas for New York events are live!
Lineup includes Addy Osmani, Kevin Goldsmith, Robin Bonatesta, and more…
New York • October 15 & 16, 2025
More about Velocity
-
How to write better AI prompts
Writing the right AI prompt for tools like ChatGPT can be the difference between unusable and usable code.
-
Researchers say generative AI isn’t replacing devs any time soon
Can large language models solve complex software engineering tasks? Not yet according to a recent study.
-
How to speed up code reviews
Code reviews don’t have to be painful. Here’s how to embrace tools and more collaborative processes to raise the bar on your review cycle.
-
How to keep engineering teams effective through prioritization
As an engineering leader, guiding your teams on what to prioritize it paramount for impactful work.
-
Unlocking productivity with developer platforms
Developer platforms can be a potent tool for your teams. Learn how to improve productivity with knowledge reuse and more!
-
Managing the chaos of context switching
It’s time to examine the good, the bad, and the very ugly elements of context switching. Even better, we’ll take a look at some strategies for managing it.
-
If agile isn’t dead, why is it still not working?
Agile software development has outlived wave after wave of technology innovation, but in 2023, is the methodology on life support?
-
Introducing processes where none exist
Introducing processes to a team as a new manager can seem daunting. Learn how to mitigate pushback and reach team harmony with these tips.
Top Velocity videos
-
Establishing intentional communication
Davy Stevenson talks about how communication is a critical part of the engineering process but is not usually treated as something to be engineered or optimized. Let’s take some time to talk about how we as managers can build effective meetings.
-
Think like a journalist: Make better decisions when you don’t have all the information
Melissa DePuydt tells her own story of developing early leadership experience by running toward scrappy work on high-performing engineering teams at The Washington Post and The Atlantic, and I’ll share what I’ve learned about the importance of “scale” efforts in growing others and sustaining myself in my work.
-
“Zero waste” engineering practices
Suzanne Livingston talks about how IBM software development practices are undergoing a major transformation, and how yours can too.
-
Making transformation work
Chris Pilsworth looks at the challenges that organisations can face, the ways to get support for your initiatives and make the transformation a success.
-
Increase the opportunity for success and diversity in your software engineering teams through professional apprenticeships
Marco Zanchi explores the challenges posed by the skills shortage and the pivotal role professional apprenticeships play in bridging the gap with the most important asset of any organisation: its people.
-
Why full SDLC testing matter in your software development lifecycle
Quality and velocity” is no longer an “either-or” statement. To accommodate the demands for speed and quality, many companies today are trying to test every change using different tools throughout the software lifecycle, but the tools are isolated and don’t inform each other of a holistic strategy for quality. Thus, testing becomes a bottleneck, and it can result in fewer releases with no improvement to the customer experience. Join Sangit Patel to learn how a holistic approach can help address these market challenges.
-
Building bridges: The art of crafting seamless partnerships between engineering, product, and design
James Stanier, Winter Wei, and Janet Balneaves join us for a panel discussion on the art of crafting seamless partnerships between engineering, product, and design.
-
Maps to medicines: One map to an atlas
Shweta Bhandare discusses how Recursion scientists perform CRISPR-Cas9 mediated knockout to understand the activity level of every gene in a specific disease model, which allows new discoveries to be made. These maps are specific to a cell-type.