Allstacks Resources

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.

Going faster was never the win. Why AI agent governance, not better prompts, is the discipline that makes coding agents pay off.

Roadmaps are slipping in AI-coding orgs but sprint attainment looks fine. The bottleneck moved upstream to spec quality. Here's the failure sequence and what to check this week.

Allstacks Product Studio is the always-on workspace for product and engineering teams to build context-aware specs that hold up in AI-assisted development.

Gartner studied orgs that cut headcount to fund AI. Workforce reduction had zero correlation with ROI. Here's what the highest-ROI engineering orgs do.

DORA's 2026 report shows AI ROI follows a J-curve: a productivity dip, then uplift. Most engineering orgs measure at the dip and call it failure.

DORA's 2026 AI ROI report finds returns live in the engineering system, not the tools. Here's the infrastructure VPs of Engineering need to instrument.

Specification quality is where AI lands hardest on product management. Why it decides AI coding ROI, and how to make the transition.

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

Stop paying for tokens that earn nothing. A 30-day playbook to review, package, and govern the instruction files your AI agents load every turn.

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.

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.

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.

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.