[Until May 27th (Wed) / Limited to 200 Tickets] "AI DevEx 2026" Early Bird Ticket Sales Extended Due to Popular Demand!

Findy Inc. (Shinagawa-ku, Tokyo; Representative Director: Yuichiro Yamada; hereinafter "the Company"), which provides an engineer platform, announced today that applications for "AI DevEx Conference 2026 - Future of Development Productivity -" to be held on Wednesday, July 22nd and Thursday, July 23rd, 2026, have exceeded 700. In response to this overwhelming popularity, the company has decided to extend the sales of the second round of early bird tickets.

Approximately one month after applications opened on Monday, April 6th, over 700 applications have been received, indicating the high level of interest in development productivity and AI DevEx. Following the sold-out first round of early bird tickets, we have decided to offer special pricing for those who apply early.

This conference, themed "The Future of Development Productivity and Development Organizations in the AI Era," will be held in a hybrid format, both online and offline (Venue: JP Tower Hall & Conference / Marunouchi, Tokyo). More than 50 companies, including engineering leaders from domestic and international tech companies such as Meta, GitHub, Mercari, the Digital Agency, and Accenture, are scheduled to speak.

Click here to apply

◆ Event Overview

Date and Time

Wednesday, July 22nd and Thursday, July 23rd, 2026, 9:30 AM - 6:40 PM

Format

Offline and online streaming (pre-registration required)

Tickets

・In-person ticket (Early Bird Second Round) ¥3,000 (excluding tax)

※Deadline: May 27th (Wednesday)

・In-person ticket ¥5,000 (excluding tax)

・Online (Free)

Venue

JP Tower Hall & Conference (Marunouchi, Tokyo)

Application URL

https://dev-productivity-con.findy-code.io/aidevex2026

Organizer

Findy Inc.

Target Audience

Engineers, managers, and executives interested in improving development productivity and DevEx

◆ Introduction of Special Speakers

July 22nd (Wednesday) Uber Technologies Inc. / Matas Rastenis

Lessons from Platforms in Complex Engineering Organizations

"Uber's AI-Era Development Productivity: Maximizing Efficiency with Agents and Evolving Workflows"

In this session, Mr. Rastenis will discuss Uber's transition to an agent-based platform, its platform strategy for scaling productivity with AI, and specific implementation details.

July 22nd (Wednesday) Notion Labs Inc. / Fuzzy Khosrowshahi

Product Development Decision-Making Process Co-created by AI and Humans

"Notion's Philosophy and Leadership Guiding Product Development in the AI Era (tentative)"

This session will re-examine the "state of information" required for product organizations in the changing AI era. Mr. Khosrowshahi will discuss decision-making processes based on Notion's three core principles: "transparency, autonomy, and learning," illustrated with case studies.

July 23rd (Thursday) Meta Platforms, Inc. / Moritz Beller

How to Measure Engineering Productivity in the AI Era?

"Engineering Productivity in the AI Era at Meta"

This session will explore how AI has redefined traditional KPIs, considering the shift from conventional productivity metrics to those focusing on the effectiveness of AI agents in the AI-native era.

◆ Applicant Attributes

After the event announcement, the attributes of the registered participants are as follows:

In a survey on AI utilization within organizations, the "productivity improvement phase" and "outcome exploration phase" accounted for the majority of participants. On the other hand, companies that have reached the "outcome creation phase" or "systematization/deployment phase" were limited, revealing a challenge in connecting AI utilization to business results.

In terms of employee size, many applicants came from companies with 100-500 employees that are actively utilizing AI, and from enterprises focused on improving development productivity, indicating applications from a wide range of company sizes.

Approximately 60% or more of participants are in the productivity improvement phase or outcome exploration phase. Approximately 49% of participants belong to large companies with 500 or more employees.

Click here to apply

◆ What is "Findy Team+", a SaaS that connects management and development sites with AI strategy support?

With the increasing in-house development of software across various industries, companies are required to enhance development productivity with limited resources and connect it to business results. Simultaneously, the evolution of generative AI is bringing a major turning point to development sites.