Baruch Sadogursky
DevRel, Tessl AI
Лид ДевРела
Nashville, Tennessee, United States
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Baruch Sadogursky (@jbaruch) did Java before it had generics, DevOps before there was Docker, and DevRel before it had a name. He started DevRel at JFrog when it was ten people and took it all the way to a successful $6B IPO by helping engineers solve problems. Now, Baruch keeps helping engineers solve problems, but also helps companies help engineers solve problems. He is a co-author of the "Liquid Software" and "DevOps Tools for Java Developers" books, Java Champion and CNCF Ambassador alumni, serves on multiple conference program committees, and regularly speaks at numerous most prestigious industry conferences, such as DevNexus, DevOpsDays, Voxxed Days, Devoxx, DevRelCon, Kubecon and QCon. Today, he's a part of DevRel team in Tessl, helping AI agents to serve developers better.
Барух Садогурский (@jbaruch) писал на Джаве до того, как в ней появились дженерики, рассказывал про ДевОпс до того, как появился Докер, и занимался ДевРелом до того, как его стали так называть. Барух основал DevRel в JFrog когда там было 10 человек, и помог компании дойти до IPO с оценкой в $6B помогая инженерам лучше делать их работу. Теперь Барух продолжает помогать иженерам, а так же помогает компаниям помогать инженерам. Он соавтор книг "Liquid Software" и "DevOps Tools for Java Developers", является членом ПК нескольких престижных конференций и выступает регулярно на таких конференциях как Kubecon, JavaOne (мир праху его), Devoxx, QCon, DevRelCon, DevOpsDays (по всему миру), DevOops (не опечатка) и так далее.
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Coding Fast and Slow: Applying Kahneman's Insights to Improve Development Practices and Efficiency
How does behavioral psychology connect to coding? This talk explores how understanding and managing your mental energy can transform the way you work. Using accessible research, including Daniel Kahneman’s concepts of “fast” and “slow” thinking, we’ll dive into how different types of thinking impact decision-making and productivity. We’ll also discuss how to conserve mental fuel, so you have the focus and clarity needed for critical tasks—even at the end of a demanding day.
In addition to understanding how our minds work, we’ll talk about practical techniques for managing time and allocating mental resources effectively. This includes strategies to reduce context switching, avoid wasting mental energy on low-priority tasks, and stay focused on what really matters. By using your mental energy wisely, you’ll be able to maintain productivity and avoid burnout.
If you’re interested in learning how to apply behavioral psychology to your workflow, improve time management, and make smarter decisions with less effort, this talk is for you.
Back to the Future of Software: How to Survive the AI Apocalypse with Tests, Prompts, and Specs
Great Scott! The robots are coming for your job—and this time, they brought unit tests. Join Doc and Marty from the Software Future (Baruch and Leonid) as they race back in time to help you fight the machines using only your domain expertise, a well-structured prompt, and a pinch of Gherkin. This keynote is your survival guide for the AI age: how to close the intent-to-prompt chasm before it swallows your roadmap, how to weaponize the Intent Integrity Chain to steer AI output safely, and why the Art of the Possible is your most powerful resistance tool. Expect:
- Bad puns
- Good tests
- Wild demos
The machines may be fast. But with structure, constraint, and a little time travel, you’ll still be the one writing the future.
Codepocalypse Now: LangChain4j vs. Spring AI
Which Java framework handles AI better: LangChain4j or Spring AI? In this live coding showdown, we’ll build a semantic code search application from scratch, putting both frameworks to the test. We’ll cover project setup, using language models, setting up a retrieval-augmented generation workflow, and creating a REST API.
You’ll see how these frameworks handle embedding generation, vector database integration, and real-world development challenges. By the end, the audience decides who wins, based on which framework gets the job done faster, better, and with less hassle (and whether the demo actually works).
It’s a live experiment under pressure! Come and see which one comes out on top!
This is a fun hands–on talk – two speakers, two laptops, two frameworks, one demo. Who will do better? Whose demo will even work? Who will have a better developer experience? The audience will be the judge.
Never Trust a Monkey: The Chasm, the Context, and the Chain Behind AI-Assisted Code
We’re in the middle of another leap in abstraction.
Like compilers, cloud, and containers before it, AI coding agents arrived with hype, fear, and broken assumptions. We gave the monkeys GPUs. Sometimes they output Shakespeare. Other times, they confidently ship code that compiles, passes tests, and still does the wrong thing.
The problem is simple: intent gets lost between what we mean, what we ask for, and what actually runs.
This talk delivers a practical model for software development with AI coding agents built on three equally essential ideas:
The Chasm: the divide between human intent and what is actually expressed to an AI coding agent.
The Context: the shared, explicit, and reusable knowledge an AI coding agent operates within. APIs, conventions, constraints, and domain rules replace guessing.
The Chain: the Intent Integrity Chain. A structured flow of prompt → spec → test → code, at each stage produces a verifiable artifact and is validated externally and grounded in a shared context at every stage.
Together, these form a system where intent survives implementation. Natural language becomes specifications. Specifications become tests. Tests become code. Every step is grounded in a shared context instead of assumptions and is never validated by the same model. This approach is informed by recurring failure patterns observed in real AI agents development workflows: systems passed tests, shipped successfully, yet still failed to meet intent.
Attendees will leave with a concrete blueprint for building production-ready systems using AI coding agents. The focus is on structuring work so humans remain responsible for meaning, machines handle execution, and AI coding agents become reliable collaborators.
Trust your context.
Trust your guardrails.
Never trust a monkey.
This is a "keynote style" thought leadership piece about establishing trust in AI-generated code. It's one of my favorite talks and a heavy-hitter, scoring very high at any conference it was presented.
RoboCoders: Judgment Day: AI-Assisted Engineering Applied - The Battle of Agents
Agentic AI-assisted engineering tools promise cleaner code, faster development, and fewer late-night debugging sessions. But do they truly deliver?
In this live showdown, Viktor and Baruch will each use a different set of cutting-edge AI coding tools, like an IDEs and CLI agents (we'd name them, but honestly, things move too fast in this space), to develop a non-trivial IoT application, from initial setup to testing and debugging, all live on stage.
Will the IoT bulb turn on by the end of the session, and which tool will make it happen? You don't know, we don't know, but we'll find out together—live on stage.
You, the audience, decide which tool actually improves quality and productivity and which just adds noise instead of useful code. Bring your skepticism, cast your vote, and get ready for surprises.
This is a fun hands–on talk – two speakers, two laptops, two IDEs, one demo. Who will do better? Whose demo will even work? Who will have a better developer experience? The audience will be the judge.
You’re Absolutely Right (and Other Lies My AI Told Me): Engineering Context for Agentic AI
My AI coding agent agrees with me a lot. It agrees when I’m right. It agrees when I’m wrong. It agrees while deciding on its own to remove validation logic, rewrite business rules, and confidently explain why this is an improvement.
This is what coding with AI agents looks like when context lives in the developer’s head rather than in the system.
This talk looks at how developers can make agents less agreeable and more effective by treating shared context as an engineering problem. We’ll show how prompts, rules, and other forms of system context and shared knowledge can be packaged into explicit, reusable units instead of living in ad hoc conversations. More importantly, we’ll look at how that context can be shared and reused consistently across tools and teams, using familiar distribution ideas borrowed from the way we already share libraries via registries and repositories.
On top of that foundation, we’ll cover when deterministic scripts are the better choice and how to embed them into agent workflows, how to assess prompt quality using concrete signals instead of “trust me, bro,” and how guardrails like tests and structure help agents fail loudly instead of silently drifting.
If your AI keeps agreeing with you even when it’s doing the wrong thing, you’re absolutely right: this talk is for you.
Many AI talks focus on what agents can do. This talk focuses on what they should be allowed to do, and how developers can enforce that through shared context, structure, and guardrails. It offers a grounded, engineering-first perspective that complements more exploratory or model-focused sessions.
JCON EUROPE 2026 Sessionize Event Upcoming
Arc of AI 2026 Upcoming
Devnexus 2026 Sessionize Event Upcoming
Voxxed Days Tichino 2026 Upcoming
Technical Enshittification: Why Everything in IT is Horrible Right Now and How to Fix It
Jfokus 2026 Sessionize Event Upcoming
Open Conf - 2025 / PANELS and OPEN SPACE ACTIVITIES Sessionize Event
AI by the Bay Sessionize Event
DevFest Toulouse 2025 Sessionize Event
BaselOne 2025 Sessionize Event
AI fokus Sessionize Event
J-Spring 2025 Sessionize Event
Spring I/O 2025 Sessionize Event
JCON EUROPE 2025 Sessionize Event
IJ Internal Conference 2025 Sessionize Event
Devnexus 2025 Sessionize Event
DevOps Vision and MLOps Vision 2024 Sessionize Event
DevOpsDays Tel Aviv 2023 Sessionize Event
BaselOne 2024 Sessionize Event
JConf.dev 2024 Sessionize Event
swampUP 2024 Sessionize Event
KCDC 2024 Sessionize Event
JCON EUROPE 2024 Sessionize Event
Devnexus 2024 Sessionize Event
DeveloperWeek 2024 Sessionize Event
DevRel Experience 2023 Sessionize Event
DevOps Vision 2023 Sessionize Event
Oπe\n Conf - 2023 Sessionize Event
BaselOne 2023 Sessionize Event
DevOps Days Buffalo 2023 Sessionize Event
Infobip Shift 2023 Sessionize Event
DevOpsDays Birmingham (UK) 2023 Sessionize Event
swampUP 2022 City Tour - Munich Sessionize Event
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Yalla DevOps Tel Aviv 2022 Sessionize Event
JNation 2022 Sessionize Event
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DevOpsDays Austin 2022 Sessionize Event
Cloud Native Kitchen Sessionize Event
DeveloperWeek New York 2020 Sessionize Event
EuropeClouds Summit Sessionize Event
DeveloperWeek Global 2020 Sessionize Event
Azure Day Rome 2020 Sessionize Event
All The Talks Sessionize Event
DevOps Summit Amsterdam 2019 - Two days DevOps experience Sessionize Event
Yalla! DevOps 2019 Sessionize Event
swampUP 2018 Sessionize Event
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