Conf42 JavaScript 2025
2025-10-30
-- online --
[Conf42 JavaScript 2020, Conf42 JavaScript 2022, Conf42 JavaScript 2023, Conf42 JavaScript 2025]
who it's for
frontend developers, javascript developers, full stack developers, engineering managers, data engineers, ai and machine learning engineers, accessibility engineers
topics
TypeScript game development; WebGL2 and WebGPU; WebAssembly and AssemblyScript; agentic coding in the IDE; docs-as-context for LLMs; ARIA accessibility techniques; prioritized task scheduling (scheduler.yield); browser-mode component testing with Vitest; Module Federation micro frontends; real-time data pipelines with Databricks; API integration with OAuth and connectors; confidential computing for VM security
| title | author | length |
|---|---|---|
| Level Up: Why TypeScript/JS for game development? | Annie Tsai, Adam Ringhede | 12m |
Engine work uses web tech for two years and targets web/mobile genres from hypercasual to FPS, with platforms like Poki and CrazyGames already hosting complex… | ||
| Making Docs and AI Work Together: Agentic Coding in the IDE | Sharon Yelenik | 26m |
Built a pipeline that turns API docs into IDE-executable context: Cloudinary MCP servers plus an LLM client in Cursor, with Context7 indexing and short rules… | ||
| Accessible JavaScript: it's easier than you think! | Gian Wild | 47m |
Clear, actionable checklist: implement 3 types of JavaScript functionality (binding, non-interactive, custom), follow 10 accessibility principles (text… | ||
| The 2025 State of JavaScript Testing | Daniel Afonso | 29m |
Survey data shows mocking is the top pain, 62% of companies use Jest + React Testing Library (Storybook common) and 13% report no tests; eight company cases… | ||
| Let Your Browser Take a Breather with a Scheduler.yield() | Aleksandr Tkachenko | 28m |
Claim: scheduler.yield() from the prioritized task scheduling API pauses long JavaScript chunks and resumes them as a prioritized microtask so UI events run… | ||
| Introduction to ARIA: A Developer's Guide | Anisat Ahmed | 34m |
ARIA is presented as a set of attributes that fill semantic gaps when HTML alone isn’t enough, with the central claim that use native HTML first and reach for… | ||
| Transforming Knowledge Systems with Embedded Analytics | Harshita Dubey | 05m |
Enterprise knowledge systems show >50% failure rates at 100k+ organizations; this case describes a 24‑month overhaul that layers custom JavaScript… | ||
| Generative AI for Claims and Fraud | Amala Arul Malar Umakanth | 16m |
Tens of millions of claims per day create fragmented data and over $100 billion in costs, and this session lays out a concrete stack: a five-layer architecture… | ||
| Fast-Track AI Integration for Modern Web Apps | Linga Annela | 17m |
Claims concrete outcomes: micro frontends speed feature delivery three times faster, raise engagement by 45% and accelerate A/B testing nearly tenfold while… | ||
| API Integration with JS: Scalable, and Future-Ready Systems | Darshini Jayaprakash | 16m |
Argues that REST stays dominant because stateless HTTP scales, and middleware with pre-built Salesforce/SAP/AWS connectors cuts integration work from weeks or… | ||
| Cross-Cloud Campaign Analytics Meets JavaScript | Sruthi Erra Hareram | 14m |
Architecture delivers fast trusted answers by pushing heavy work to Azure Data Factory and Azure Databricks, storing daily partitions in a columnar lake and… | ||
| Transforming Healthcare Operations with Measurable Gains | Rakesh Kumar Yadav | 14m |
Shows a deployed NodeJS and React stack using microservices, Redux state, websockets and server-sent events to power real-time dashboards, chatbot triage and… | ||
| EDI 837 Validation: Automating Claims with Modular JS Frameworks | Nachi Gudipudi | 19m |
A modular JavaScript framework validates EDI 837 claims at scale by converting X12 837 EDI to JSON, applying metadata‑driven rule engines for eligibility… | ||
| Multi-Agent Intelligence for Next-Gen Insights | Ajitha Buvanachandran | 16m |
Claims end-to-end enterprise analysis drops from days to ~20 minutes by orchestrating specialized agents—research, analysis, domain expert, quality—that… | ||
| Agentic AI for Autonomous Micro-Frontend User Interfaces | Jyoti Kunal Shah | 13m |
An Agentic Control Plane is built that runs RL agents and LLM agents over OpenTelemetry inputs and applies fixes via GitHub pipelines and service mesh… | ||
| JavaScript Text Analytics for User Behavior Intelligence | Ujjwala Modepalli | 16m |
Claims client-side NLP runs fully in-browser for privacy, real-time feedback and cost savings, using TensorFlow.js models (lightweight transformers/LSTMs) for… | ||
| Scaling Reinforcement Learning | Jyotirmoy Sundi | 17m |
Describes a production recipe for RLHF at scale: training on Kubernetes multi-GPU clusters (4–8 GPUs per pod) using DeepSpeed and Ray Train with NCCL/NVLink… | ||
| VM Security with Confidential Computing | Priyadarshni Shanmugavadivelu | 13m |
Cloud VMs use AMD SEV SNP and Intel TDX to encrypt VM memory and create hardware-enforced trust domains with TPM 2.0 measured boot and PCRs for remote… | ||
| AI-Driven Rate Limiting for Scalable and Cost-Efficient APIs | Rehana Sultana Khan | 39m |
Describes an AI rate limiter that ingests over 14 data points and synthesizes 27 behavioral features, trains a hybrid model (random forest committee +… | ||
| Framework for Frontend & Node.js Vulnerability Management | Srinivasa Rao Gunda | 18m |
Covers a practical vulnerability-management framework that assesses dependencies, enforces prevention patterns, automates detection and applies risk-based… | ||
| Privacy by Design for JavaScript Data Systems | Vivekananda Chittireddy | 16m |
Conference-level claim: 140 countries have strong privacy laws and average breach cost is ~$5M, and 87% of US citizens are reidentifiable from three… | ||
| Revolutionizing JavaScript Performance | Deepika Annam | 11m |
Claims measured in production: 2.29× throughput gains, 40% bundle size reduction, 60% faster load times and 3× API response improvements. Describes Node.js… | ||
| Real-Time Data Systems: Speed, Scale, and Resilience | Lakshmi Bhargavi Mullapudi | 08m |
Real-time pipeline targets 180 gigabytes with ~30% realtime demand and latency goals under 1 second, using event capture at ~10 ms, ML scoring at ~50 ms and… | ||
| Building the Future: Microservices, Edge & Cloud Innovation | Surya Prabha Busi | 18m |
Microservices replace monoliths and claim adoption rising from 45% in 2019 to 91% in 2024, enabling a 76% deployment time reduction and ~50% operational cost… | ||
| Building Real-Time Feature Pipelines | Venkata Chandra Sekhar Sastry Chilkuri | 11m |
Shows an end-to-end JavaScript pipeline that consumes Kafka events in Node.js, computes windowed, idempotent features, caches them in Redis with sensible TTLs… | ||
| nothing matches | ||