LDX3 London 2026
2026-06-02..2026-06-03
London, United Kingdom
[LeadDev London 2022, LeadDev London 2023, LeadDev London 2024, LDX3 London 2025, LDX3 London 2026]
as the organisers put it
Join over 2,500 engineering leaders on June 2 & 3, 2026 and explore the latest practices for building effective software engineering orgs.
who it's for
engineering leaders, staff engineers, platform engineers, engineering managers, hiring managers, developer experience leads, site reliability engineers
topics
AI-native hiring processes; LM-powered code reviewers; staff engineer systems playbook; Time to First Token metric; developer productivity metrics (PRs per week); crowdsourced platform engineering; proactive reliability improvements; AI-augmented leadership assistants; burnout frameworks for AI era; inclusive leadership across cultures; load testing and scaling practices
| title | author | length |
|---|---|---|
| The Staff Engineer’s playbook: Intellectual shift to systemic impact | Anna Selway | 22m |
Argues staff engineers must shift from solving tickets to shaping systems and gives a four-step playbook: identify the real problem (found a… | ||
| One silver bullet: Adaptability | Daniel Wagner-Hall | 11m |
Claim: AI shifts workflows but not fundamentals; hiring for learning to learn matters more than pedigree. Gives concrete evidence: a grad builds an LM code… | ||
| Technology advances; history repeats itself | Zoe Cunningham | 10m |
Claim: technology keeps advancing but organizational learning repeats and erodes unless preserved. Evidence: observation of fewer junior engineering roles… | ||
| AI killed the coding interviews. Here’s what Meta built instead | Danit Nativ Navon | 26m |
Meta builds a full coding environment with an embedded AI assistant and retires classic whiteboard interviews, arguing that interview coder broke the front… | ||
| The state of AI in software development: Insights across 400+ organizations | Justin Reock | 27m |
Quarterly data from 460+ companies and 190,000 engineers shows 93% adoption with shadow AI pushing that higher, regular users saving ~4.7 hours/week and daily… | ||
| Inclusive leadership across cultures: Practical patterns for global engineering teams | Christopher Egemba | 14m |
Three concrete failure modes get named with fixes: silence versus disagreement, hierarchy versus challenge and direct versus indirect feedback. Expect specific… | ||
| What does a CTO even do? | Dee Kitchen | 25m |
Argues the practical steps to become a CTO by reverse‑engineering the role: maps five concrete responsibilities — people, tech, product vision… | ||
| Planning next moves: improving performance when half your stack is someone else's problem | Maude Lemaire | 28m |
Defines Time to First Token as the user‑felt latency and a degraded session as any 30‑minute window with a >40s TTFT or cursor overhead >10s; P99 TTFT on bad… | ||
| Game time: A playbook to (unsuccessfully) 10x in a week and (successfully) 10x in a year | Plum Ertz | 25m |
A team tries and fails to scale in a week, then succeeds in five months by building load tests with Ksix API tests then full-browser simulation, setting a… | ||
| Reading the game: Mental skills for high-performing engineering teams | Cathy Pank | 25m |
Claim: team performance is roughly 80/20 mental vs technical. Evidence comes from observing real matches and meetings, timing substitutions, keeping mental… | ||
| Mentoring that actually changes careers | Lenni Ojala | 23m |
Defines mentor vs sponsor vs coach, shows formats from single ad hoc chats to a five‑meeting program, and uses the GROW model sometimes but explicitly labels… | ||
| Four dimensions of burnout: An anti-burnout framework for the AI era | Dominika Rogala | 27m |
A clear claim: burnout breaks into four measurable patterns — exhaustion, emotional distance, reduced efficacy, identity gap — and AI tends to raise demands… | ||
| AI in the trenches: Real-world wins without breaking things | Yiğit Darçın | 19m |
How to integrate AI into real engineering workflows to boost delivery speed while keeping systems stable and teams confident. | ||
| Platform Engineering for Developers, Architects & the Rest of Us (AI Agents) | Daniel Bryant | 22m |
AI is raising the stakes for platform engineering. Learn how to build self-service platforms that support developers and AI systems safely. | ||
| Crowdsourcing platform engineering | Marianna Budnikova | 25m |
Crowdsourced platform engineering builds shared ownership through visible weekly updates, a prioritized backlog and short scoped issues, public recognition… | ||
| Don’t wait for an outage to improve your reliability | Leo Papaloizos | 22m |
Claims that game days give the full reliability gains of real outages without customer impact and that they’re repeatable using concrete breakage tactics. The… | ||
| The AI-augmented leader: Architecting your own virtual chief of staff | Simone Casciaroli | 22m |
Six months of iterative prompts produce a set of role agents that manage planning, data, projects, search and summaries and a personal librarian called Penny… | ||
| Guardrails, not gates: Scaling juniors in the AI era | Rick Clegg | 22m |
Claim: scaling juniors succeeds by building guardrails not gates — concrete tools and metrics. Wise deploys LLM-powered tooling (Codex, Claude Code) into a… | ||
| How to grow your engineers into great leaders | Charles Duncan | 21m |
Claim: promoting top ICs fails because coding skill ≠ people management; implement tech lead rotations (one year to 18 months) with explicit one on ones… | ||
| The story box | Michael Lopp | 29m |
Three concrete takeaways: run weekly 30‑minute one‑on‑ones until people give feedback — trust shows up around week five in the transcript’s example; treat AI… | ||
| We doubled engineering productivity at eBay, but couldn't change culture | Randy Shoup | 29m |
Claimed outcome: doubled engineering productivity across roughly 3,000 product engineers, backed by DORA metrics showing 10x deployment frequency and 5x faster… | ||
| Engineering leadership in 2026 | Scott Carey | 12m |
Lead Dev publishes a third engineering leadership report based on a survey of 600 respondents and finds middle layers getting squeezed: cuts hit middle… | ||
| nothing matches | ||