Allstacks Resources

Agile and DevOps trend toward delivering customer value and Value Stream Management takes too long to realize value. Value Stream Intelligence delivers.

Forecasted Delivery Dates are sourced from the engineering team's historical work and are a realistic prediction of when work will be completed using data.

Krishna Patel's principles for keeping product and engineering teams and product stakeholders happy, productive, and strategically aligned.

CTOs. need to prioritize aggressively. While prioritizing leads to tough questions and conversations, it’s made easier by following one simple guideline.

Krish has built an incredible career as a liaison between engineering and the business, which is often the missing link in effective software delivery.

We are talking about the process of arriving at the new Allstacks brand and how important it was it represented some of the core values of our company and principles of our product.

Allstacks is single source of truth of data for decision-making across IT and Engineering teams as our customer looks to modernize the way teams build software.

Can we use passive engineering activity data to adapt to our evolving workplace to more reliably ship software and eliminate developer burnout?

We're rolling out new features that allow for greater personalization specific to each user’s role in the org and making it easier to standardize reports.

Overcome the toxic trend of glamorizing developer overwork continues to define tech culture and is a leading factor of software engineer burnout.

Engineering is misunderstood. Here's how to create strong relationships between product teams, engineering, and the rest of the company to achieve success.

Engineering Team Lead, Lisa Scheibner shares her personal operating principles for growing great software teams and products for more gratifying work.

Allstacks is aligning our brand to the promise of making the entire value stream more reliable, collaborative, strategic, and gratifying with every release.

Along with Commit Frequency and Commit Volume, Commit Size is the final basic metric around the number of lines of code a developer creates.

Are your stand-ups more of a ceremonial checklist than a true opportunity to align on priorities and unblock work? Let's make them data-driven instead!

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.