Naomi Lurie

Learn five strategies to manage and reduce AI token costs in software development, from spend visibility to model routing to context engineering.

Claude Code analytics track usage, contribution, and cost. Learn the two ways to collect the data, where it stops, and how to connect it to engineering outcomes.

Track Claude Code token usage with built-in commands and community tools, learn what drives consumption up, and connect that spend to what your team shipped.

AI-generated code looks clean but fails beneath the surface. See what the data says about AI code quality, review burden, and how to fix it at the source.

The industry's most in-depth guide to measuring engineering productivity: what to track, how to collect data, and how to turn metrics into business impact at scale.

AI tools speed up developers, but delivery feels slower. Here is what the data tells us about the gap between output and absorption.

Developer sentiment surveys track how engineers feel. But when AI coding tools cost real money and your CFO wants ROI, feelings aren't the answer. Here's what is.

A practical software engineering glossary for the AI era: pull requests, PR size, merge rate, code churn, incident rate, and the DORA metrics engineering teams use to measure AI's impact on productivity and quality.

Evaluating DORA metrics platforms? Learn why Faros is the best engineering intelligence platform for enterprises tracking all 5 metrics at scale. Includes 2025 DORA benchmark distributions, selection criteria comparison table, and what changed with rework rate and failed deployment recovery time.

Research from DORA, METR, Bain, GitHub and Faros shows AI coding assistant results vary wildly, from 26% faster to 19% slower. We break down what the industry data actually says about saving time, money, and effort, and why some organizations see ROI while others do not.

Renewed certifications demonstrate Faros's continued commitment to keeping customer data safe.

New DORA data shows AI amplifies team dysfunction as often as capability. Key action: measure productivity by actual collaboration units, not tool groupings. Seven team types need different AI strategies. Learn diagnostic framework to prevent wasted AI investments across organizations.

GitHub Copilot vs Amazon Q enterprise showdown: Copilot delivered 2x adoption, 10h/week savings vs 7h/week, and 12% higher satisfaction. The only head-to-head comparison with real enterprise data.

Atlassian's $1B DX acquisition validates developer productivity measurement but creates vendor lock-in risks. Why enterprises need independent platforms.

How to scale AI coding assistants from pilot to thousands of engineers: a proven Launch-Learn-Run framework, real telemetry from 10,000+ developers, and a 90-day plan.

Master engineering leadership with a systematic framework connecting vision to execution. Includes resource allocation models, OKR implementation & success metrics.

Learn the true MTTR meaning and why average metrics mislead engineering teams. Transform MTTR from vanity metric to strategic reliability asset with segmentation and percentiles.

Explore the Faros Hubble release, featuring GAINS™, documentation insights, and a 100x faster event processing engine, built to turn AI engineering potential into measurable outcomes.

METR's study found AI tooling slowed developers down. We found something more consequential: Developers are completing a lot more tasks with AI, but organizations aren't delivering any faster.

Supercharging the AI transformation with data-driven insights and orchestration built for the enterprise SDLC. Fully integrated with Microsoft and GitHub products, available on the Marketplace with MACC.

The Faros Gödel Release represents a breakthrough in how engineering leaders understand, guide, and empower their teams.

Now available in Azure Marketplace for procurement with Microsoft Azure Consumption Commitment (MACC), Faros empowers enterprises to optimize engineering with AI

Faros announces enhancements for engineering data exploration and building custom engineering productivity charts and dashboards

Through its collaboration with Faros, Globant will introduce an innovative method for measuring and extracting insights about its team performance and impact on business results, particularly within the software development life cycle.

Faros announces the most intelligent solution for boosting GitHub Copilot adoption and optimizing the return on investment.

Strategies to increase GitHub Copilot adoption to turn usage into impact.

Maximize your return with a complete guide to GitHub Copilot best practices.

Tech organizations can now interpret value and ROI signals across engineering operations to improve resource allocation and navigate the adoption of AI coding assistants.

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

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.

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

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

Six metrics any engineering manager can use to get the most value out of contractors and justify the expense.

AI vendors aren't waiting for our normal annual budgeting cycles, nor should you. Be an effective champion with this guide on how to build a business case for unplanned spending.

The costs of continuing down an internal build path are high, while the risks of inaction are rising. The AI revolution signals it's time to take a fresh look at adopting an integrated data platform.

New and renewed certifications demonstrate Faros's continued commitment to keeping customer data safe.

Seasoned pros share tips on getting the timing right, harnessing the insights, avoiding "big brother", and whether to build or buy — or perhaps both...?