Two days, built for engineers.
Sessions, keynotes, and breaks across every stage. Released day by day as the lineup locks in.
Where to be, and when.
- 10:30 – 11:15Los GatosI packaged my application in a container image, and now what?Cloud, DevOps & Platform EngineeringAurélie Vache
- 10:30 – 11:15CupertinoSecuring AI Agents on Kubernetes: Identity, Sandboxes, and Policy EnforcementAI Engineering & DataRoland Huß
- 10:30 – 11:15Palo AltoForensic DDD: Reverse-Engineering the Domain Your Legacy System Never DocumentedSoftware Architecture & Engineering ExcellenceRaj Navakoti
- 10:30 – 11:15SeattleSenior Architecture 2.0: Unlearning & Job Crafting – Stop being the ultimate bottleneck in your own codebaseEngineering careersKinga Bazior
- 11:30 – 12:15Los GatosSame Bug Twice: What Happens When AI Writes Your Code And Your TestsSoftware Architecture & Engineering ExcellenceMourjo Sen
- 11:30 – 12:15SeattleNo Framework, No Server: Making AI Agents Collaborate in One TerminalAI Engineering & DataLech Kalinowski
- 11:30 – 12:15CupertinoAI Tokenomics: Principles for Cost-Efficient GenAIAI Engineering & DataGrzegorz Wasilewski
- 12:30 – 13:15CupertinoPlatforms That Don't Suck - Creating tools that teams might actually loveCloud, DevOps & Platform EngineeringKarolina Ochlik
- 12:30 – 13:15Los GatosPinpointing misconceptions with tracingSoftware Architecture & Engineering ExcellenceTomas Dambrauskas
- 12:30 – 14:00Silicon Valley(Cancelled due to speaker illness)Private AI with Docker and UpCloudCloud, DevOps & Platform EngineeringPaweł Piwosz
- 12:30 – 13:15Palo AltoAgents are easy, enterprises are where they breakAI Engineering & DataKonrad Bujak
- 13:30 – 14:15Cupertino(MCP Security) - How Your Friendly MCP Tool Might Betray YouCybersecurityDaniel Ostrovsky
- 13:30 – 14:15Los GatosHow will we prompt AGI? A History of Harness Hacks.AI Engineering & DataIvan Charapanau
- 13:30 – 14:15RedmondBeyond Coding Assistants: Orchestrating the Entire SDLCAI Engineering & DataIllia Slepau
- 13:30 – 14:15Palo AltoBeyond Hello World: building production ready Go ServicesSoftware Architecture & Engineering ExcellenceIrina Branovic
- 14:30 – 15:15CupertinoAgents Propose, Git DisposesCloud, DevOps & Platform EngineeringJaroslaw Gajewski
- 14:30 – 15:15Los GatosAgile isn't dead, you're just doing it wrongEngineering careersKarolina Ochlik
- 14:30 – 15:15Palo AltoSourcecode translation as a step in Legacy ModernizationSoftware Architecture & Engineering ExcellenceLeszek Włodarski
- 14:30 – 15:15RedmondFrom GenAI Training to Production. Lessons learned from Building AI Agents for Financial Services ClientsAI Engineering & DataAnna Żółtańska
- 15:30 – 16:15RedmondFrom 3GPP Spec to Live Network: Safely Deploying 6G Security in a Multi-RAT, Legacy OAM Environment.Software Architecture & Engineering ExcellencePawel Owczarski
- 15:30 – 16:15SeattleTerraform, day 1001Cloud, DevOps & Platform EngineeringPiotr Trębacz
- 15:30 – 17:00Silicon ValleySecuring AI Agents with Fine Grained AuthorizationCybersecuritySohan Maheshwar
- 15:30 – 16:15Palo AltoBuilding an AI-Native Engineering Team: Lessons LearnedAI Engineering & DataHimash Tehan
- 16:30 – 17:15CupertinoDesign Systems That Explain ThemselvesSoftware Architecture & Engineering ExcellenceSzymon Chudy
- 16:30 – 17:15Los GatosBuilding the next generation of AI developer toolsAI Engineering & DataKrzysztof Cieślak
- 16:30 – 17:15Palo AltoGitHub Actions moves to CosmosDB: data migration at internet scaleSoftware Architecture & Engineering ExcellenceBassem Dghaidi
- 16:30 – 17:15SeattleWhy Agentic AI Projects Fail and How to Make Them WorkAI Engineering & DataIlona Pietras
- 16:30 – 17:15RedmondMFA? Game over! Watch your protection collapse – liveCybersecurityChristoph Menzel
Sourcecode translation as a step in Legacy Modernization
Legacy Systems are not a myth, they are all around us, just not visible to modern developer. How to make a transformation of those big, usually critical and crucial systems is a riddle that almost nobody can solve, except mBank. The talk would be an inspiration of how automated sourcecode translation might be the solution for one of the obstacles at the legacy system modernization path. What steps have we taken to finally switch 3m LoC into modern platform with success: • Translation models o Low level .NET translation o Logical kind of DSL approach … the runtime o What about a compilers … • Sourcecode translation built from 3 steps o Preprocessing o Translation to .NET o Postprocessing • Start small – unit tests • Grow bigger – functional tests • Pilot and run .NET for new stuff • Comparison tests • Run everything And the pros&cons of such an approach in context of: • quality & test automation • people transformation • effort needed to maintain such a platform • effort and capabilities to make translation work • performance tunning • tools and libraries available The story based on CORE Banking system transformation, so heavy, critical system – the heart of the Bank, nothing simple and small. mBank was awarded by Forrester https://www.forrester.com/blogs/forresters-2025-technology-strategy-impact-award-winner-and-runners-up-for-emea/ and by CIO.NET Poland organization https://www.linkedin.com/posts/brush_digital-excellence-awards-2025-za-przebudow%C4%99-activity-7397562530610544640-B31l/?originalSubdomain=en for this Replatforming/Transformation project. The projects itself it was 9 years of work and we just did it
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Early pricing runs while the programme is still being finalised.