BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Greenroom//Event Schedule//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:DevFlow Conf 2027
X-WR-TIMEZONE:America/Los_Angeles
BEGIN:VEVENT
UID:ses_1b430z09223w5v1b46@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T150000Z
DTEND:20270512T151000Z
SUMMARY:Lightning: Agents in Production Q&A
LOCATION:Main Stage
DESCRIPTION:Speakers: Marcus Okafor\nTrack: AI Engineering
END:VEVENT
BEGIN:VEVENT
UID:ses_402m1r3k2a283l6q3j@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T150000Z
DTEND:20270512T153000Z
SUMMARY:UPDATED: Taming 40-Minute CI: Incremental Builds at Monorepo Scale
LOCATION:Room 2A
DESCRIPTION:Speakers: Priya Raman\nTrack: Platform & Infra\nOur monorepo CI
  took 40 minutes on a good day. This talk walks through how we cut it to 6
  minutes with content-addressed caching\, remote execution\, and a test-se
 lection model — including the two migrations that failed first. You'll l
 eave with a decision framework for which incremental-build investments pay
  off at which repo sizes\, and the graphs to convince your platform team. 
 Updated: now includes 2026 benchmark data. This session now includes a liv
 e demo of remote build caching.
END:VEVENT
BEGIN:VEVENT
UID:ses_s02@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T160000Z
DTEND:20270512T163000Z
SUMMARY:Every API Is a Tool for Agents
LOCATION:Room 2A
DESCRIPTION:Speakers: Matt Carey\nTrack: AI Engineering\nTreating every exi
 sting API surface as an agent tool: the adapter patterns\, the auth proble
 ms\, and what breaks at scale when agents call APIs designed for humans. I
 ncludes a rubric for deciding which endpoints to expose and which to wrap.
END:VEVENT
BEGIN:VEVENT
UID:ses_s01@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T160000Z
DTEND:20270512T164500Z
SUMMARY:Keynote: The Workflow Decade
LOCATION:Main Stage
DESCRIPTION:Speakers: David Gomes\nTrack: Developer Experience\nTen years o
 f developer workflow change compressed into forty-five minutes: what actua
 lly moved the needle\, what was fashion\, and where the next decade of lev
 erage is hiding. A data-heavy look at build systems\, editors\, CI\, and t
 he arrival of agents that write and review code alongside us.
END:VEVENT
BEGIN:VEVENT
UID:ses_s03@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T170000Z
DTEND:20270512T173000Z
SUMMARY:Beyond Code Coverage: Functionality Testing with Playwright
LOCATION:Main Stage
DESCRIPTION:Speakers: Marlene Mhangami\nTrack: Developer Experience\nCovera
 ge numbers say a line ran\, not that a feature works. A practical tour of 
 functionality-level browser testing and what it catches that unit tests ne
 ver will\, with a migration plan for suites that are already too slow.
END:VEVENT
BEGIN:VEVENT
UID:ses_3a2718545r0b360o4n@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T170000Z
DTEND:20270512T173000Z
SUMMARY:Taming 40-Minute CI: Incremental Builds at Monorepo Scale
LOCATION:Room 2A
DESCRIPTION:Speakers: Priya Raman\, Priya Raman\nTrack: Platform & Infra\nO
 ur monorepo CI took 40 minutes on a good day. This talk walks through how 
 we cut it to 6 minutes with content-addressed caching\, remote execution\,
  and a test-selection model — including the two migrations that failed f
 irst. You'll leave with a decision framework for which incremental-build i
 nvestments pay off at which repo sizes\, and the graphs to convince your p
 latform team.
END:VEVENT
BEGIN:VEVENT
UID:ses_s04@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T180000Z
DTEND:20270512T183000Z
SUMMARY:Agents Don't Do Standups: Building the Post-Engineer Engineering Or
 g
LOCATION:Main Stage
DESCRIPTION:Speakers: Mike Spitz\nTrack: AI Engineering\nWhat team structur
 e\, rituals\, and career ladders look like when a meaningful share of the 
 work is done by agents rather than people. Two reorgs\, one of which was a
  mistake\, described honestly.
END:VEVENT
BEGIN:VEVENT
UID:ses_s05@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T180000Z
DTEND:20270512T183000Z
SUMMARY:Cutting p99 Build Latency in Half
LOCATION:Room 2A
DESCRIPTION:Speakers: Yusuf Demir\nTrack: Platform & Infra\nMedian build ti
 me is the number people quote\; p99 is the number that ruins afternoons. H
 ow we found the tail\, what caused it (spoiler: not the compiler)\, and th
 e four changes that halved it.
END:VEVENT
BEGIN:VEVENT
UID:ses_s06@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T200000Z
DTEND:20270512T220000Z
SUMMARY:Workshop: Remote Build Execution From Scratch
LOCATION:Workshop Lab
DESCRIPTION:Speakers: Tobias Frey\nTrack: Platform & Infra\nA hands-on two-
 hour workshop building a minimal remote build execution service: content-a
 ddressed storage\, action caching\, and a worker pool. Bring a laptop with
  Docker installed.
END:VEVENT
BEGIN:VEVENT
UID:ses_s08@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T210000Z
DTEND:20270512T213000Z
SUMMARY:Designing Internal Developer Platforms People Actually Like
LOCATION:Room 2A
DESCRIPTION:Speakers: Grace Whitmore\nTrack: Developer Experience\nInternal
  platforms fail politely: nobody complains\, everybody routes around them.
  A field guide to platform adoption metrics\, paved-road design\, and the 
 deprecations that make a platform credible.
END:VEVENT
BEGIN:VEVENT
UID:ses_s07@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T210000Z
DTEND:20270512T213000Z
SUMMARY:How Building with AI Can Double the Throughput of Your Engineering 
 Team
LOCATION:Main Stage
DESCRIPTION:Speakers: Brian Scanlan\nTrack: AI Engineering\nMeasured throug
 hput changes across a large engineering org after AI tooling rollout — w
 hat moved\, what did not\, and which measurements were misleading enough t
 hat we stopped reporting them.
END:VEVENT
BEGIN:VEVENT
UID:ses_s09@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270512T220000Z
DTEND:20270512T224500Z
SUMMARY:Panel: What Broke When We Shipped Agents
LOCATION:Main Stage
DESCRIPTION:Speakers: Jess Grogan-Avignon\, Alessandro Cappelli\nTrack: AI 
 Engineering\nA frank panel on enterprise agent deployments: governance\, b
 udgeting\, evaluation\, and the organisational antibodies that kill promis
 ing pilots. Audience questions encouraged and unfiltered.
END:VEVENT
BEGIN:VEVENT
UID:ses_s10@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270513T160000Z
DTEND:20270513T164500Z
SUMMARY:Keynote: Platforms Are Products
LOCATION:Main Stage
DESCRIPTION:Speakers: Lena Ortiz\nTrack: Platform & Infra\nIf your platform
  team has no churn metric\, it has no users — it has hostages. A keynote
  on running internal infrastructure with product discipline\, including th
 e uncomfortable parts about pricing and sunsetting.
END:VEVENT
BEGIN:VEVENT
UID:ses_s12@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270513T170000Z
DTEND:20270513T171000Z
SUMMARY:Lightning: The 200-Line Skill That Replaced 12K LoC
LOCATION:Room 2B
DESCRIPTION:Speakers: David Gomes\nTrack: AI Engineering\nHow a 12\,000-lin
 e hand-rolled subsystem was replaced by a 200-line agent skill\, what brok
 e along the way\, and the decision framework for when this trade is worth 
 making.
END:VEVENT
BEGIN:VEVENT
UID:ses_s11@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270513T170000Z
DTEND:20270513T173000Z
SUMMARY:Scaling Reinforcement Learning: Lessons from Trillion-Token Deploym
 ents
LOCATION:Room 2A
DESCRIPTION:Speakers: Alessandro Cappelli\nTrack: AI Engineering\nCost stru
 cture\, procurement realities\, and measured returns of trillion-token RL 
 deployments inside large regulated enterprises. What the finance team asks
  that the research team never anticipated.
END:VEVENT
BEGIN:VEVENT
UID:ses_s13@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270513T180000Z
DTEND:20270513T183000Z
SUMMARY:Zero-Downtime Migrations for Stateful Services
LOCATION:Main Stage
DESCRIPTION:Speakers: Ivan Petrov\nTrack: Platform & Infra\nDual writes\, s
 hadow reads\, backfills that take a fortnight\, and the rollback you will 
 need at 2am. A migration playbook derived from four production cutovers\, 
 two of which went badly.
END:VEVENT
BEGIN:VEVENT
UID:ses_s14@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270513T200000Z
DTEND:20270513T203000Z
SUMMARY:Most Enterprise Agentic Projects Are Doomed — Here's Why
LOCATION:Room 2A
DESCRIPTION:Speakers: Jess Grogan-Avignon\nTrack: AI Engineering\nA post-mo
 rtem across enterprise agent deployments: the budgeting\, governance\, and
  ROI-modelling mistakes that sink them before the technology ever gets a c
 hance to fail on its own merits.
END:VEVENT
BEGIN:VEVENT
UID:ses_s15@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270513T210000Z
DTEND:20270513T230000Z
SUMMARY:Workshop: Instrumenting Developer Productivity Without Surveillance
LOCATION:Workshop Lab
DESCRIPTION:Speakers: Amara Nwosu\nTrack: Developer Experience\nA two-hour 
 workshop on building a developer productivity dashboard your engineers wil
 l trust: which signals to collect\, which to refuse\, and how to publish t
 he methodology alongside the numbers.
END:VEVENT
BEGIN:VEVENT
UID:ses_s16@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270514T160000Z
DTEND:20270514T163000Z
SUMMARY:Monorepo Ergonomics at 4\,000 Engineers
LOCATION:Main Stage
DESCRIPTION:Speakers: Nadia Rahman\nTrack: Platform & Infra\nEverything abo
 ut a monorepo that is fine at 200 engineers and unbearable at 4\,000: code
  ownership\, dependency graphs\, review routing\, and the tooling investme
 nts that bought us another order of magnitude.
END:VEVENT
BEGIN:VEVENT
UID:ses_s17@greenroom
DTSTAMP:20260820T011024Z
DTSTART:20270514T170000Z
DTEND:20270514T173000Z
SUMMARY:Docs as an API Surface
LOCATION:Room 2A
DESCRIPTION:Speakers: Grace Whitmore\nTrack: Developer Experience\nDocument
 ation is consumed by agents now\, and they are unforgiving readers. Struct
 uring docs so both humans and machines can navigate them\, with measuremen
 ts from a year of doing it.
END:VEVENT
END:VCALENDAR