INFOSTART TECH EVENT 2026 in St. Petersburg Draws 130+ Talks on 1C, AI and DevOps

The INFOSTART TECH EVENT 2026 conference took place October 8–10 at the Saint Petersburg Hotel in St. Petersburg. It ran for three days, with more than 130 talks and round tables, and drew developers, administrators and architects of enterprise systems built on the 1C platform. Among the announced topics were AI in development and testing, but it was not the only one: performance, integrations, DBMS administration and DevOps shared the program.

What was on the program

The organizers split the program into several tracks. The first covered development techniques and practices. The second gathered ideas and technology trends. Separate tracks dealt with integration and data exchange, DBMS administration and HighLoad, DevOps, and testing and software quality. The list closed with technical team development and developers' personal effectiveness.

The makeup of the tracks shows how work around 1C is organized today. It is no longer just configuring and writing code in a single environment. A specialist now has to handle data exchange with external systems, database load, automated checks and release delivery. AI enters this context as one more working tool: it helps write and review code, and it matters to those responsible for delivery quality.

AI as part of the engineering process

The announcement of the results mentions "the use of AI in development and testing." The published summary gives no details on specific talks, models, tools or measured effect, so it is not possible to judge the depth of these sessions from it. It does show that the topic was placed among the main ones, alongside traditional engineering tasks. For a market where 1C remains the main platform for accounting and management automation at many Russian companies, this is a telling signal: the question "whether to use AI assistants" is giving way to "where, and with what checks."

The practical questions in such discussions are usually the same. How does an assistant work with closed or highly specialized code? How do you verify what it generates? How do you keep customer data from going to external services? The organizers' material does not address these questions, but they follow directly from the stated combination of "AI plus testing plus software quality."

Format and atmosphere

The venue was styled as dark fantasy, and the program was complemented by the INFOSTART PARTY. According to the organizers, participants noted the high level of organization. For professional conferences, the informal part has long been a working tool: hiring, contracting and real implementation problems get discussed in the hallways.

Key event details

• Dates: October 8–10, 2026
• Venue: Saint Petersburg Hotel, St. Petersburg
• Audience: 1C and business automation specialists
• Program size: more than 130 talks and round tables
• Tracks: development, trends, integrations and data exchange, DBMS and HighLoad, DevOps, testing and software quality, team development
• Separate topic: AI in development and testing

What 1C teams should take away

First: if your team does not yet have rules for using AI assistants, write them before rolling the tools out widely. Define which code and which data must not be sent to external services, and who is responsible for checking the output.

Second: start with testing. Generating tests and verification scenarios is easier to control than generating production code, and it shows faster whether the tool pays off.

Third: watch for the talk materials once they become publicly available. The announcement gives no basis for judging the quality of individual talks, and concrete figures for time savings are better taken from the talks themselves than from the conference's summary.