Discover how Riskified’s engineering organization strengthens team autonomy and accountability to achieve outstanding business results in the competitive cybersecurity market.

Midway through the year, we surveyed 85 technology leaders about the questions they wish their engineering data could answer. Three themes emerged.

Finally, automation is optimizing software development capitalization, a vital but laborious accounting practice.

GitHub execs say Copilot aims to make developers 10x more productive. Being the data-driven folks that we are, we put it to the test.

Half the improvement battle is diagnosing engineering challenges correctly. Lighthouse AI now diagnoses them for you and recommends solutions.

If teams struggle to weigh the tradeoffs without your involvement, it may be a reflection of the systems you’ve put in place as a leader.

As analysts, Intellyx relentlessly mocked bi-modal IT. Today, they caution not to allow the advent of AI-based development tooling to create another such pace separation that throws off the cadence of our engineering organizations.

Three ways to improve how you scope, estimate, and communicate your R&D commitments.

Jason Bloomberg of Intellyx challenges the assumption that all code must be tested before deploying it to production.

How we used GenAI to make querying unfamiliar data easier without letting the LLM take the wheel

The leading data platform for software engineering organizations and the AI transformation takes a quantum leap.

A field-proven guide to scaling engineering, advocating for resources, and maximizing impact, including practical plays from Coursera.