Allstacks Resources

How to use TDD with AI coding agents — and why the agent will try to delete your tests before it fixes the code.

Spec-driven development isn't waterfall. The bottleneck shifted, building is cheap, figuring out what to build is the constraint. Here's what changed.

Bad Jira tickets cascade into rework, delays, and missed expectations. Here's how AI-powered spec readiness fixes the input before your sprint starts.

88% of teams adopted AI tools. Only 33% see real impact. McKinsey's James Kaplan explains why—and what the companies scaling AI are doing differently.

AI makes developers feel faster—but DORA data shows quality is slipping. Code review is now the skill that separates top teams.

Research shows AGENTS.md files often reduce AI task success and increase costs by 20%+. Here's what to fix—and how to know if yours is helping or hurting.

AI won't replace senior engineers—but it will redefine what senior means. Four capabilities that matter now.

Research shows technical skill barely predicts who struggles with AI—professional identity does. Here's why some engineers will thrive and others won't.

AI didn't replace developers—it gave every one of them a direct report. Research shows a 39-point gap between perceived and actual productivity. Here's why "more productive" often means "more exhausted."

AI coding tools were trained on Stack Overflow's 23M questions—but that community has stopped contributing. Here's the training data paradox no one is talking about, and what it means for the developer of 2027.

The 'hollowed-out career ladder' is real: AI handles grunt work, seniors stay employed, juniors disappear. What history—and research—tell us about what comes next.

Developers have stopped Googling for answers—67.5% now use AI instead. Here's the data behind the biggest behavioral shift in developer history, and what it means for engineering teams.

Comprehension debt is the growing gap between the code your team ships and the code they actually understand. Here's how to spot it—and what engineering leaders should do before something breaks.

A VC shares 5 AI SDLC predictions for 2026: the bottleneck shifts from writing to verifying, the technical debt hangover arrives, and AI spend finally gets tied to business value.

When AI handles code generation, the bottleneck shifts from production to problem definition, feedback loops, and human adaptation. Here's what changes—and what stays stubbornly the same.

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.