Overview
Moldova Dev Con is an annual regional tech event for developers and other geeks. We'll spend three days with stunning presentations, practical sessions and afterparty madness. Backed by industry leaders and powered by community.
Schedule
Enterprise AI applications, use-cases and trends
Enterprise AI applications, use-cases and trends
Exploring enterprise AI applications, real-world use cases, and key trends, with practical insights from working on grounded LLMs and lessons learned from Gemini Enterprise.
ACID in fintech: double-entry, deadlocks and the cost of getting it wrong
This talk is about double-entry accounting in fintech: why it underpins every payments system, the concurrency and correctness challenges engineers regularly hit when two transactions collide over the same balance, and the practical options for solving them. You will discover a clear picture of the trade-offs and a mental checklist for choosing between them on your own codebase.
Workshop [TBA]
Talk [TBA]
Silent Data Killers: Hidden Failures Every Team Must Prevent
What if your systems are working perfectly, dashboards are all green—but the data is already wrong? This talk uncovers the hidden data killers that make information incomplete, duplicated, delayed, or misleading, and explores the engineering practices, architectural patterns, and shared responsibilities that keep data trustworthy from source to consumption.
Talk [TBA]
Pre-party
Pre-party at Pianyi Ugol [welcome drink included, other drinks & food at own cost]
Shielding Your Software: Best Practices for Securing the Supply Chain
After Log4Shell and the "GitHub Actions" attacks, the most significant security vulnerabilities of the past few years, controlling the software supply chain is top of mind for every security-conscious development team. In this session, we will explore a series of practical software development and system architecture best practices you can follow to secure your builds, sources, and dependencies.
Pre-party
Wine & Tech dinner [Geek tickets only]
Embeddable Agentic SaaS with A2UI and Microfrontends
This session introduces how the A2UI protocol enables agents to drive full, embedded product experiences rather than isolated chats. By packaging these experiences as agentic microfrontends, teams can integrate agents directly into SaaS domains with their own design systems, auth, and lifecycle. Attendees will learn patterns for connecting A2UI-driven agents to production-ready microfrontends that scale across products and teams.
Architecture at scale: a sovereign multi-hypervisor cloud for 1000+ servers
Step inside the ongoing process of how Adtelligent is engineering a sovereign multi-hypervisor cloud platform for 1,000+ servers. This session explores real-time architectural strategies, cost-optimization blueprints, and technical trade-offs for scaling private IaaS infrastructure with bare-metal automation.
Building AI Agents with ADK and MongoDB Vector Search
"In this hands-on workshop, you’ll build a grocery shopping assistant with Google’s Agent Development Kit (ADK) and MongoDB Vector Search. You’ll develop an intuition for the differences between simple prompting, RAG and AI agents, including when an agent is the right choice for a problem. Through a series of guided exercises, you’ll build a multi-tool agent that uses semantic search to find relevant products and acts on product and cart data."
LLM Context Profiling: what is eating up your tokens?
"One of the most painful aspects of AI coding agents is the ever-increasing bills for token usage - especially now, when providers are either reducing limits or switching to usage-based billing. Since most of the token costs are typically spent on input, in this session we will delve into the contents of the context window, show how to identify the biggest issues using a custom-built profiler, what these tokens are spent on, and how they could be optimised."
Building a Family Tree Back to 1700 as a Software Engineer
Most family trees stop at great-grandparents. Everything older is buried in 18th-century handwriting, scattered across Russian, Ukrainian, Lithuanian and Finnish archives, in scripts nobody in the family can read. In one month I took one line of my tree back to Peter the Great's census of 1710, eleven generations up, and found that my great-grandparents were seventh cousins. This is not an "ask ChatGPT about my ancestors" talk. It's an engineering story: a Claude Code harness of specialised agen
From AI Experiments to Operating System: Three Practices That Turn Scattered Usage into Compounding Value
Most companies have AI governance and tooling in place but lack a practical operating model for how teams actually share and build on each other's AI work. This talk introduces three lightweight practices any organization can adopt immediately: a regular showcase for demoing working AI experiments, a shared library for storing reusable prompts, workflows, and automations, and clear ownership to keep everything maintained. Together, they form a simple loop — build, show, store, improve — that tur
Practical magic: how to experiment without breaking production
Last year, we demystified the witchcraft of CRO development. This year, we're getting our hands dirty and answering the question I heard the most: "but how the hell do you actually build an A/B test?" We'll go behind the scenes of a live experiment, from the infrastructure that makes it possible to the code that makes it happen, and build one from scratch. All while making sure production doesn't go up in flames. 🔥 Bring a laptop with an internet connection. No pre-installation or setup needed.
AI in highly regulated environments
AI in highly regulated environments What it means for devs and products? Talk will be based on EU AI Act and EU Digital Cybersecurity act and how it impact dev process and sets boundaries for products.
Nobody needs your feature: how to stop building software and start solving problems
Customers don’t need more features - they need their problems solved. This session introduces Evidence-Driven Development and the Evidence Ladder to show how teams can uncover the real need behind a request and validate assumptions before investing in development. You’ll leave with practical tools for building solutions people will actually use.
Talk [TBA]
Scaling Staging Environment Management: From Chaos to Automation
Scaling Staging Environment Management: From Chaos to Automation
EIM Manifesto in the AI Era
EIM Manifesto in the AI Era
The Sound of Privacy – What Your Spotify Data Reveals About You
The Sound of Privacy – What Your Spotify Data Reveals About You
Delegating Work to Agents: Goal, Verifier, Workspace
Delegating Work to Agents: Goal, Verifier, Workspace