Allstacks Resources

Welcome to the first installment in our Crawl/Walk/Run series to help you bring meaningful metrics into your software development process.

Let's talk about something that's driving every tech leader crazy right now: why can't we seem to get software delivered on time and on budget?

Ever stare at your engineering dashboards and feel like something's missing? Sure, you can see all the commits, PRs, and velocity charts, but that doesn't tell you if your developers are pulling their hair out over clunky tools or buzzing with excitement about their latest project.

Discover how Allstacks' new features provide unparalleled insights into engineering team dynamics and performance, combining real-time data with qualitative feedback and AI impact analysis.

At Allstacks, our mission is to empower engineering teams with actionable insights and the tools they need to succeed. In Q3, we rolled out a host of new features designed to make your workflows more efficient, your data more insightful, and your processes smoother. Here's a recap of our key accomplishments this past quarter.

The real-time demonstration of Allstacks' capabilities really brought our discussion of engineering metrics to life - hosted by our Director of Product Management, Graham Langdon and our Head of Engineering, Jim Grundner. For those who couldn't make it, let us walk you through how we connected theory to practice.

Over the course of time as an engineering leader, I've seen my fair share of trends come and go. But perhaps none has been as persistent – and at times, overwhelming – as the push for metrics. I remember a time when our dashboards were cluttered with every conceivable data point. We tracked it all: lines of code, number of commits, story points, bugs per feature, and the list went on. It was a data deluge and frankly, it was drowning both our teams and leadership.

When measuring software developers, using lines of code as a key metric has its advantages and disadvantages.

By aligning business goals and day-to-day engineering work, you both empower teams to directly add to the bottom line, while also helping leaders clearly see ROI.

Allstacks secures $10M in Series A funding led by Quadri Ventures, M12, Microsoft's Venture Fund, and First Rays Venture Partners to enhance software development outcomes and empower engineering teams with critical data for strategic decision-making and project success.

The marriage of Artificial Intelligence (AI) and software development is ushering in a new era of efficiency, innovation, and productivity. This powerful combination is transforming every aspect of the software lifecycle, offering developers unprecedented tools to create, test, and deploy and support high-quality software faster than ever before.

At Allstacks, planning begins with a detailed review of how our efforts were distributed in the previous period across our investment categories. This approach ensures that our plans are realistic, achievable, and aligned with our team's capabilities. In this article we’ll show you how we measure and predict our capacity.

There is no one-size-fits-all set of metrics that works across companies and product lifecycles. The metrics you prioritize should directly align with your current goals and objectives.

At Allstacks, we partner with software organizations to help them mature their development metrics approach and process to achieve a state of mastery in software delivery. This mastery is characterized by a high degree of predictability, minimal incomplete work, and quantifiably improved customer satisfaction.

At Allstacks we have collaborated with hundreds of software development leaders to both identify and communicate the best ways to operate engineering teams with data and intelligence.  The practices we promote both internally and externally completely align business goals, software patterns and most importantly the key measures to pursue those mutual objectives.

AI product management is changing fast. This whitepaper unpacks the AI transformation of software product management and how PM teams can lead it.

The Crawl Walk Run approach takes your engineering metrics program from first steps to full speed. Download the free whitepaper.

Developer productivity survey results: see how engineering teams measure, manage, and improve productivity. Download the free report.

Engineering efficiency starts with simple metrics. Download the whitepaper on the measures that actually move software delivery.

SAFe metrics that prove value: download the whitepaper on measuring Scaled Agile Framework performance across your ARTs and teams.

GitHub Copilot metrics that matter: this whitepaper shows how to measure Copilot's real impact on delivery, quality, and developer output.

R&D capitalization made practical. Download the whitepaper on capitalizing software R&D and development costs accurately and defensibly.

Engineering productivity, decoded. This 2025 report breaks down what the data says about how software teams really perform, and how to improve.

AI ROI is hard to prove. Download two free whitepapers on measuring AI's real impact on engineering KPIs and business outcomes.

How to improve code quality when tickets get in the way: this on-demand webinar shows why Jira tickets hurt quality and what to change.

Product management webinar: Build to Learn, Build to Earn shows PMs how to turn AI-era experiments into revenue. Watch the free on-demand session.

DORA Report 2025, explained. Watch the webinar breaking down AI's impact on software delivery performance and what it means for your team.

Developer productivity and AI: what every executive needs to know. Watch the on-demand webinar for a leader's guide to measuring the shift.

Software quality is a human problem first. Watch this webinar on building better code through culture, collaboration, and craft.

Section 174 capitalization explained: watch the R&D cost capitalization webinar to understand the rules for software development costs.

AI-driven development pays off when you measure it. Watch this webinar on maximizing GitHub Copilot and AI coding tools across your team.

Predictable software delivery is possible. Watch The Predictable Path webinar to see how leading teams hit dates without burning out.

AI team management for the AI-augmented era: your team just doubled, your management tools didn't. Watch the on-demand webinar.

The Crawl Walk Run framework helps teams adopt engineering metrics in stages. Watch the on-demand webinar to build your metrics program.

Generative AI use cases in software development: watch session 2 of the GenAI roundtable for real examples from engineering leaders.

Generative AI adoption done right: watch session 3 of the GenAI roundtable for lessons on rolling out GenAI across engineering teams.

Generative AI in software development: watch session 1 of the GenAI roundtable for how engineering teams are putting GenAI to work.

Agile forecasting turns funding decisions into delivery predictions. Watch the on-demand webinar to forecast engineering outcomes with confidence.