.png)
How Braze Sustains Continuous Value Delivery
Braze's data-backed, quantitative approach to allocating engineering resources
.png)
The AI Transformation Stack: 10+ Tools Beyond Code Generation
Most AI coding initiatives fail to deliver ROI. Here are 12 tools that help engineering leaders transform throughout the SDLC.
The CI/CD Gap Holding Back Your AI Investment
AI CI/CD bottlenecks prevent most orgs from capturing efficiency gains. Learn why deployment stays flat even as velocity doubles — and what to fix first.
Hurry Up and 10x: The Path to Real AI Productivity
Your team writes code faster with AI. So why does deployment take longer than ever?
The Right AI Metrics Can Future-Proof Your Org
85% of developers use AI daily, but only 2% of companies can measure its impact. Learn how AI metrics separate adoption theater from real transformation.
The AI Measurement Crisis
Here's what the research from a study of 100+ engineering leaders at large orgs reveals about AI measurement.
Strategic AI Adoption Starts with Engineering Fundamentals
Will your AI adoption strategy help you succeed, or just fail faster?
Your First 90 Days as a New Engineering Leader
Learn the five priorities and strategic decisions that turn your first 90 days into long-term success.
How to Find Engineering Bottlenecks
Learn how to diagnose engineering bottlenecks. This guide for leaders covers actionable steps, real-world examples, and a framework for driving change.
Engineering Culture Change Is Hard. Here's Why.
Engineering culture change requires technical expertise and soft skills. Here are some of the common roadblocks to success.
How Systems Thinking Shapes Engineering Organizations
Discover how systems thinking in engineering can break the cycle of failed transformations.
Three Myths That Derail Engineering Excellence
Learn the misconceptions that sabotage even the most well-intentioned transformation initiatives.
.webp)
A Buyer's Guide to Engineering Intelligence Tools
How SEI platforms help large organizations drive meaningful improvement
The WAVE Framework for Engineering Effectiveness
Uplevel's WAVE Framework guides our approach to organizational change in engineering. Learn about our key indicators for engineering capability.
The AI Measurement Crisis
Here's what the research from a study of 100+ engineering leaders at large orgs reveals about AI measurement.
AI Won’t Solve Your Developer Productivity Problems for You
AI tools aren't the magic fix for developer productivity. Learn how to maximize impact with fundamentals.
.png)
How Xactly Built a Culture of Engineering Efficiency
+17% in available dev time
The Great Developer Time Allocation Adventure
How are developers spending their time? Learn how Uplevel's allocation models provide insight and how engineering leaders can use them to drive change.
Time Allocation Strategies for Engineering Leaders
With greater visibility into how your engineering teams allocate their time, you can create a culture of accountability across your entire organization.
KTLO in Software Development: Best Practices for Leaders
Allocating time for KTLO in software engineering is a challenge for engineering leaders. Here are some techniques we've seen succeed at Uplevel.
Balancing Engineering Alignment with Autonomy
Learn how Francisco Trindade, VP of Engineering at Braze, approaches engineering leadership to help his team be effective and align with business goals.
Survey: Are CTOs and Engineering Teams Aligned?
There's a disconnect between engineering leaders and their teams — one that may affect productivity and the delivery of business value.
Messy Jira? Meet Uplevel's Engineering Time Allocation Model
Messy project management data shouldn't keep engineering leaders from successful time allocation. Learn how Uplevel finds the signal in the noise.