DPE Summit 2025
2025-09-23..2025-09-24
San Francisco, United States
who it's for
developer productivity engineers, platform engineers, engineering managers, engineering leaders, build and release engineers, qa and test engineers, site reliability engineers
topics
predictive test orchestration; universal caching for CI; agentic coding and agents; ai-assisted refactoring; test containerization; build acceleration with Turbo Reactor; merge queue systems; observability for toolchain; flaky test mitigation strategies; dependency update management; measuring developer productivity (SPACE and DORA); multi-agent developer tooling
| title | author | length |
|---|---|---|
| You can write code faster. Can you deliver it faster? | Hans Dockter | 26m |
Generative AI increases code volume and more mispredictions are inevitable so delivery degrades unless pipelines change. DORA data shows 1.5% delivery drop and… | ||
| What Makes a Great Developer Experience? | Max Kanat-Alexander | 27m |
Argues that a great developer experience targets three measurable things: cycle time, focus, and cognitive load. Shows that speeding large deliveries requires… | ||
| Developer Productivity in the Age of GenAI | Vic Iglesias | 20m |
Netflix’s developer productivity team measures GenAI impact with OKRs and DORA-style metrics, runs experiments with predictive test selection and test… | ||
| Beyond the Commit: A Fireside Chat on AI and Developer Productivity | Brian Houck, Nachiappan Nagappan | 24m |
Argues that productivity needs multidimensional metrics (velocity, quality, toil) and gives concrete directions: invest in AI-assisted refactoring for legacy… | ||
| Measuring the Impact of AI on Developer Productivity | Pavel Avgustinov, Payam Shodjai | 46m |
Meta claims 6–12% increase in DDM for above-average users of DevMate based on a 2x2 cohort and mixed‑effects analysis, and observes a J‑curve 15% slowdown in… | ||
| Developer Satisfaction = Better Code | Here's Why | Anjali Gugle | 13m |
Companies measure activity not flow, so metrics miss that 26% of engineers feel unproductive and Atlassian finds ~60% of estimations vary. Adding tools creates… | ||
| DragonCrawl: The AI Testing Framework That Adapts Instead of Breaks | Juan Marcano | 29m |
Generative-AI tests parse view hierarchy XML to choose actions, take screenshots for later AI-powered VQA assertions, and separate execution from validation so… | ||
| Scaling AI for Developers: Lessons from the Inside | Venkad Dhandapani | 22m |
Salesforce reports an initial single tool delivering 30+ minutes daily saved per developer and scales that into a multi-agent ecosystem across 14,000+… | ||
| Developer experience in the AI era | Abi Noda, Nicole Forsgren | 45m |
Upcoming book Frictionless (Aug ’25) argues practical steps: adopt the SPACE framework for multi-dimensional developer metrics, apply RICE prioritization to… | ||
| Measuring Engineering Productivity from a Standing Start: A 320-Year-Old Bank’s Journey | Hilary Lanham, Tom Kelk | 34m |
Lloyds Banking Group implements SPACE plus DORA across 16,000 engineers and 80,000 repos to measure productivity, backing claims with outcomes: The EnginEar… | ||
| Agentic coding | Szczepan Faber, Mike Nakhimovich | 35m |
Airbnb reports agentic coding adoption jumping into the 60–64% range and ties it to measurable PR velocity gains while insisting humans review AI-generated… | ||
| Optimizing for Time: Dark Matter | Karim Nakad | 30m |
Meta measures developer time and finds most work is overhead: one engineer used about 50 tools in a day, timelines compress into noisy bars, and a simple… | ||
| Breaking Down Silos Between Platform and Product Teams | Rebecca Fitzhugh | 38m |
Atlassian identifies survey feedback showing planning, prioritization and communication as the top developer pain, then builds a campaign-driven system that… | ||
| Developers Expose What's Breaking Productivity in Their Companies | Olga Lvova, Yanina Ledovaya | 27m |
JetBrains survey reports over 20,000 responses overall and a dedicated DevEx/DP sample of ~6,000 developers and 2,000 managers, finding parity between… | ||
| Bold Move: Automating Away Developer Friction | Katie Lamkin-Fulsher | 29m |
Intuit automates CI/CD troubleshooting and access to cut developer friction: a GenAI-powered failure analysis plugin reads Jenkins and Argo logs, calls a GenOS… | ||
| Universal Cache: It’s time for fast, reliable, and cheap CI pipelines | Etienne Studer, Mirco Dotta | 28m |
CI pipelines hit a universal cache that stores build inputs and outputs (dependencies, JDKs, wrappers) and runs as a geo‑located Velocity Edge beside CI… | ||
| Your Build, Your Rules | Aurimas Liutikas | 19m |
Shows how a single convention Gradle plugin wraps other plugins to expose a tiny DSL, uses the Gradle Property API with disallowChanges property API and… | ||
| Troubleshooting at Scale: What DORA Metrics Miss | Laurent Ploix | 25m |
Argues that global DORA metrics lag and proposes actionable Local DORA proxies like developer TTR (developers spend up to 70% of coding time troubleshooting)… | ||
| Testing on Thin Ice: Chipping Away at Test Unpredictability | Francois Martin, Brian Demers | 42m |
Claims that flaky tests cost $36 billion wasted yearly, shows cases where fixed sleeps, unique-constraint collisions, CI load and parallel runs cause… | ||
| Dependency Updates: Before and After | Aubrey Chipman, Roberto Perez Alcolea | 42m |
Describes a concrete platform that automates dependency updates across 5,000 repos and 3,000 JVM services: a Nebula custom Gradle distribution bundles… | ||
| Builds 10x Faster with Turbo Reactor | Sergey Chernov | 24m |
A custom Builder extension called Maven Turbo Builder changes Maven’s reactor to publish a module after its package phase so downstream modules start earlier… | ||
| From 25 Minutes to 2.5: Okta's Journey to Faster Builds | Anugrah Singhal, Jason Erickson | 22m |
Okta measures full Maven clean install across a 1,400‑module monolith, adds a Maven Build Scanner and a custom aggregator to Wavefront/Prometheus, and then… | ||
| Beyond the Keyboard: Reclaiming Idle Time for Developer Productivity | Paul Hundal, Shivang Shah | 21m |
A lightweight background service called MDX Daemon runs as a macOS Launch Agent to execute scripted jobs that pre-warm configuration cache using the Gradle dry… | ||
| Flaky Tests, Slow Builds, Overloaded CI? You're Guessing at the Problem | Trisha Gee | 14m |
Claims that observability with Gradle’s Dev-Velocity reveals concrete causes: 30–40% of CI time spent downloading dependencies, 90% of CI CPUs idle despite… | ||
| Your Toolchain is Production: The Case for Observability | Brian Demers | 18m |
Argument states the developer toolchain is a production system and needs the same observability as customer-facing services: logs, metrics, traces to diagnose… | ||
| Merge Queue | Dhruva Juloori | 14m |
Uber builds a centralized merge scheduler called SubmitQueue that enumerates speculation trees, runs conflict analysis via Buck or Bazel targets, and uses… | ||
| Shift Left, Not Off a Cliff: Why Your Testing Strategy Is Breaking Developers | Vishruth Ashok | 16m |
Cloud Kitchens claims 80% of bugs originate during implementation and solves staging chaos by building developer sandboxes that spin up ephemeral Kubernetes… | ||
| How to be quick without being dirty: maintaining quality at high velocity | Benjie De Groot, Erin Doyle | 18m |
Practical, checklist-style guidance for speeding up without exploding quality: use Shipyard ephemeral environments and production-like test data, capture… | ||
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