Allstacks Resources

AI made product artifacts cheap to produce. The number of people who have to understand and agree with each one stayed exactly the same.

EPAM's Sergio Sisternes on why bloated skill files are the most expensive code nobody reviews, and why compressing them misses the point.

Everyone's optimizing the spec that goes into AI. Mike Mitchell of Equal Experts went after the harder half: getting a team's argument back out of a whiteboard and into the specs that drive the build.

Should product managers code? Product managers know the what. Engineers know the how. AI changes how teams work together. Here's what product managers should do to keep up.

A product manager's guide to the KPIs that matter, the accountability model behind them, and the AI product metrics most KPI lists still leave out.

The AI-native product manager's real job is in judgement, taste, and the why's that AI can't replace. The challenge is capturing and communicating that context. Here's what we mean.

Engineering owns speed, and DORA measures it well. But there's one flow metric that belongs to product managers alone, and it's the only one that answers whether you built the right thing.

For CPOs, heads of product, and PMs thinking about AI in the product development lifecycle: here's what you need to know to scale agentic workflows effectively

Every instinct says more context should mean better answers. The research on long-context performance says otherwise. This is the systems view of why, and what actually fixes it.

The AI product manager (PM) isn't a faster PM. It's a builder who owns the outcome. What the role actually is, and the skills it now takes.

Anthropic's 2026 report names spec quality the critical bottleneck in agentic coding. Here's why AI agent governance starts before execution.

AI can write your PRD in minutes. It can't define the product. What a real product definition must contain when the thing reading it won't push back.

Spec-driven development means writing precise specifications before AI agents write code. See the workflow, the tools, and where teams fail.

Code generation stopped being the bottleneck. How Athena Health made AI prototyping in product development a job for everyone, from PMs to execs.

A day in the life of a product leader running spec-driven development for AI coding agents. What changes from kickoff to commit when context shows up in the spec.

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.