Intelligence Artificielle PythonWorking with natural language has always been complex. LLMs have made it more accessible, but production applications still face significant challenges, especially when dealing with multiple languages. This talk covers common pitfalls in multilingual audio and text workflows, along with practical approaches for selecting, evaluating, and combining speech-to-text and language models.
Intelligence Artificielle Intelligence HumainAI-native engineering changes more than how developers write code. This talk explores the operating model behind it: shared intelligence, context as code, reusable skills, model routing, evals, traceability, and earned autonomy. We will look at how planning, governance, and human judgment fit together as agents take on more of the SDLC. You will leave with a framework for designing the transition.
InfonuagiqueIntelligence Artificielle Agent harnesses are easy to run on your machine. Giving them a secure place to work on their own is harder. Using Modal Sandboxes, this talk walks through the move from local agents to isolated, sandboxes with controlled access to code, tools, secrets, and networks. You will learn the building blocks for running harnesses as persistent engineering collaborators instead of as personal assistants.
Intelligence Artificielle PythonIn June 2026, OpenCV released version 5.0, its first major release since 2018. This talk uses live demos to explore its core features and newest additions. From Hough transforms and image stitching to object detection and facial recognition, attendees will see what OpenCV can do and how to apply it in their own projects.
PHPSecuritéIn October 2026, a pair of critical vulnerabilities in PHP, termed "PHP2Shell," were disclosed. As a PHP 8.5 Release Manager, Daniel Scherzer had a front-row seat to the announcement of the PHP2Shell vulnerabilities and the distribution of their fixes. Join him for an in-depth account of what PHP2Shell is, the discovery and remediation process, how the fixes were built and disseminated, and much much more.
Tests et QualitéIntelligence Artificielle AI coding agents fail on ambiguity, not syntax. BDD solved that years ago with executable specifications in business language. This talk maps a decade of BDD practice onto spec-driven development with agents: scenarios an agent implements against, used as the acceptance gate, and how to catch false green when the agent writes its own tests. Examples come from real projects and from building an open-source ERP. The workflow fits any language.
Architecture & Design PatternsCTOModern software depends on hundreds of libraries, frameworks, and services. Every dependency comes with a maintenance cost. How do you keep your software maintainable, plan a realistic maintenance budget, and decide which dependency updates and technical debt to tackle first? This talk presents practical strategies for managing dependencies and prioritizing maintenance work before it becomes a crisis.
JavaScriptRunning AI in the browser brings several advantages like privacy where the user’s data never leaves the device, lower server costs, lower AI costs, less latency, and the ability to run offline. In this talk, we’ll look at several options for running AI locally from browser built-in models to libraries that leverage Wasm, WebGPU, or WebNN. While local AI brings advantages, we’ll also discuss when this might not be the best solution.
Intelligence Artificielle PythonFrom ChatGPT text boxes to Claude Code and Codex, LLMs evolved from basic chat to tab completion to active digital workers. The secret isn't bigger models: it's the harness. We will build a complete harness live from scratch in Python, demonstrating how it bridges next-token prediction with managed state, action execution, and error handling. Plus, we'll peek at how these execution loops generate training data for future models.
DevOpsSecuritéQuantum computing poses a looming threat to current encryption algorithms, so we need a new approach: post-quantum cryptography. This talk explores why we need PQC, how it works, why it's important to use it now, new standardised PQC algorithms like ML-KEM, industry adoption of these approaches, and practical migration steps for developers and ops people to protect our data, systems, and applications now and in the rapidly-approaching future.
Architecture & Design Patterns.NETBooks and workshops describe domain-driven design for greenfield code. But what about existing code? This session covers spotting code smells in anemic, procedural code, applying standard design patterns for complex behaviors and knowing when not to, and safely refactoring toward a more cohesive, domain-driven model.
.NETTests et QualitéUnit tests meant mocking everything, until one refactor broke a slew of tests. Integration tests are a better safety net but harder to build. This session covers .NET integration testing tools, handling shared state with TestContainers, uncontrollable dependencies, and patterns for maintainable tests across web apps, APIs, and messaging endpoints.
Architecture & Design PatternsBases de donnéesAvez-vous déjà poussé une migration BD qui a brisé la prod? Réalisé qu’un autre service brise parce qu’il utilisait votre table? Ou attendu 30 secondes qu’une BD démarre pour rouler vos tests?
Voyons une architecture de pipelines CI qui (1) teste chaque migration avant qu’elle n’arrive en prod, (2) vérifie que tous les services sont compatibles, et (3) accélère les tests d’intégration en fournissant des BD pré-migrées avec Testcontainers.
Tests et QualitéIntelligence HumainTeams ship code more slowly than they think, and the real slowdown isn't CI, deploys, or automation. It's the days your pull requests sit waiting for review. This talk breaks down what research shows about review latency, why humans struggle to review large PRs, and how AI might make this bottleneck better, or much worse. You'll leave with concrete changes to make to your review cycle.
Everyone knows git commit, push, pull, add, and checkout. These cover most daily operations. But what happens when you accidentally delete your branch? Or when you have two stacked PRs and the first gets squash-merged and now there's conflicts everywhere?
This is when you need more power. Let's go off the beaten path and explore more advanced features such as git reflog, rerere, amend, fixup and autosquash, and rebase --onto and --update-refs.
.NETASP.NET Core's middleware pipeline is one of the most elegant parts of the framework, yet most of us only use the defaults. Thing is, there's a bunch of built-in middleware that ships with ASP.NET Core but isn't wired up by default.
In this session, we'll explore these overlooked middlewares, understand when to use (and when to avoid) each one, and build a few custom middleware components live on stage.
InfonuagiqueDevOpsChaque application produit ses logs à sa façon, et rarement comme on en a besoin. Le Collector OpenTelemetry sait transformer presque n'importe quel format en télémétrie cohérente et exploitable, à condition d'en maîtriser les opérateurs. Vous apprendrez à construire et tester un pipeline de parsing, à appliquer les conventions sémantiques et à éviter les erreurs qui font silencieusement disparaître vos données.
Bases de donnéesPHPIn this presentation we will look at how to deal with time zones. This will particularly be relevant due to the changes in Canada with Daylight Saving Time.
We will see how it is hard to make assumptions on how they work, and explain how they came into existence. We'll focus mostly on how to handle them from within PHP, as well as how we (should) store them in databases. We'll also have a quick look at date manipulation when querying data.
Architecture & Design PatternsUX & UIDocumentationThis talk will review how to talk real world use cases of network architecture and transpose it on a illustration that will diagram all the important steps for lossless conceptual communication in any project. Learn to make great documents quickly with automation and developer tools to help illustrate your codebase and system architecture.
Intelligence Artificielle Rolling out an AI coding agent takes more than installing a CLI. I'll show how far OpenCode's remote config, plugins, and skills go in an enterprise setup: one-command onboarding, layered configs, and a shared plugin monorepo. I'll explain how we set agent permission defaults, manage model access, and track cost and usage through telemetry. You'll leave knowing exactly what OpenCode provides and what your team needs to build.
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