Past the Bottleneck
A field guide to quality in the AI-SDLC. AI made shipping code faster. Now verification is the bottleneck.
About this ebook
A practical guide to AI testing and agentic QA.
Past the Bottleneck is a free 24-page field guide on testing in the age of AI-assisted development. Cursor, Copilot, and Claude Code made writing code dramatically faster – QA didn't keep up. This ebook is about what comes next.
Inside: what agentic QA actually is, how autonomous testing agents work in modern CI/CD, why scripted end-to-end automation (Playwright, Cypress, Selenium) breaks at AI-era velocity, and what a real rollout looks like – drawn from dozens of teams running QA.tech in production.
Written for CTOs, heads of engineering, QA leads, and platform teams evaluating AI testing tools and continuous quality for the AI-SDLC.
Inside this ebook
You'll learn how high-performing teams are rethinking QA.
- Why AI coding tools shifted the bottleneck from development to verification
- What “agentic testing” actually means (and what it doesn’t)
- How autonomous QA agents work inside modern CI/CD workflows
- Why traditional scripted automation breaks at AI-era velocity
- What a practical rollout looks like – from pilot to full adoption
- The KPIs that actually matter when evaluating AI testing platforms
- How leading teams are building continuous quality systems, not just test suites
Written by
Daniel Mauno Pettersson
CEO
Tech leader and hands-on engineer for the last 20 years. Previously CTO at memmo, Billogram, Dooer, CEO at Agigen.
LinkedIn
Patrick Lef
CPO
Engineer-turned product leader, detail-oriented. Previously CPO/CTO, memmo, Collabs, Besedo, Videofy.
LinkedIn
Vilhelm von Ehrenheim
CAIO
Built EQT's Motherbrain from nothing to a market leader. Lead Data Scientist at Klarna.
LinkedIn
Table of contents
Six chapters. One coherent picture of quality in the AI-SDLC.
- —
Foreword
Why we wrote this guide, and what changed in 2025 that made it necessary.
- 01
The bottleneck that moved
Why verification became the new constraint in modern software delivery – and why legacy QA processes collapse under AI-driven development velocity.
- 02
What agentic testing actually is
A deep dive into perception–action loops, browser agents, knowledge graphs, and adaptive testing systems that verify user intent instead of replaying scripts.
- 03
How it works in your dev loop
How AI testing agents integrate into pull requests, staging environments, exploratory testing workflows, and regression suites.
- 04
Adoption playbook
A rollout framework used across dozens of engineering teams – from initial proof-of-concept to organization-wide deployment, including the KPIs that actually matter when measuring impact.
- 05
What teams are actually seeing
Faster regression cycles, reduced QA overhead, bugs caught before production, less flaky automation, and higher release confidence.
- 06
The path ahead
Where AI-powered quality systems are heading next – from PR-level guardrails to fully adaptive product excellence engines.
Get the field guide.
Free PDF. Read it, share it, send it to the engineer who keeps asking why QA is the bottleneck.
FAQ
Questions teams ask before reading.
Ready to end the QA bottleneck?
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