SShortSingh.
Back to feed

EU State of the Union 2026 on Sept 16 to Signal Digital and AI Policy Direction

0
·1 views

European Commission President Ursula von der Leyen is scheduled to deliver the 2026 State of the Union address at the European Parliament in Strasbourg on 16 September 2026, from 09:00 to 11:50 CEST, with live streaming available. The address is expected to reflect the Commission's priorities on AI regulation, technology sovereignty, and digital policy, though it does not itself constitute new law or binding obligations. Key areas businesses should monitor include updates to AI regulatory frameworks, Europe's technology sovereignty package, and digital-by-default and open-source policy instruments. Companies operating in AI, digital services, or European technology infrastructure are advised to assess how the speech connects regulation, competitiveness, and investment to their specific operations. Observers are cautioned not to assume specific commitments or proposals before the address is formally delivered.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

GLM 5.3 Forces Mandatory Thinking, Cuts Cost Per Correct Answer by 60%

Z.ai has released GLM 5.3, a post-trained upgrade to GLM 5.2 that shares identical pricing at $1.40 per million input tokens and $4.40 per million output tokens. Unlike its predecessor, GLM 5.3 makes reasoning mandatory — attempts to disable thinking return an HTTP 400 error, and only low, high, and max effort levels are supported. In benchmark testing across 11 verifiable tasks run three times each, GLM 5.3 at maximum reasoning effort answered all 33 correctly at $0.00468 per correct answer, roughly 2.5 times cheaper than GLM 5.2 at the same setting because the new model reasons about half as much. A smaller companion model, GLM 5.3 Flash, achieved 31 of 33 correct answers at approximately one-tenth the cost, featuring 320 billion total parameters with only 18 billion activated per token. Both models offer a 1 million-token context window and show significant gains over GLM 5.2 on agent, coding, and automation benchmarks.

0
ProgrammingDEV Community ·

Crossplane Provider OVH 2.17.0 Delivers Full OVHcloud API Coverage for Kubernetes

The release of provider-ovh 2.17.0 brings complete OVHcloud API schema coverage natively within Crossplane control planes, eliminating the need for hybrid Terraform pipelines or custom shell scripts. Built using Upjet's schema generation tooling, the new version maps every OVHcloud API resource directly into Kubernetes Custom Resource Definitions, enabling continuous state reconciliation. Platform teams can now manage OVHcloud resources — including Managed Kubernetes clusters, private networking, IAM, and DBaaS — through unified GitOps workflows using tools like ArgoCD or Flux. Previously, incomplete provider coverage left critical infrastructure gaps that caused undetected configuration drift and required manual provisioning outside declarative pipelines. The update positions OVHcloud as a fully Kubernetes-native sovereign cloud option for European platform engineering teams seeking vendor-agnostic infrastructure automation.

0
ProgrammingDEV Community ·

How Agentic AI Can Turn a Stale Developer Knowledge Base into an Active Workflow Tool

Most developer knowledge systems — built around folders, tags, or Notion databases — become disorganized and unused within months, spending more time on organization than actual productivity. The proposed solution shifts from static, topic-based storage to an actionability-first model using Tiago Forte's PARA framework, which categorizes notes by Projects, Areas, Resources, and Archives. Unlike passive large language models that only respond to prompts, agentic AI systems use reasoning and planning loops to autonomously manage notes — flagging stale projects, linking related content, and executing multi-step tasks like drafting sprint briefs. A comparable rollout at Meta, covering over 60,000 knowledge workers, reportedly succeeded by cutting repetitive busywork and accelerating technical decisions rather than simply digitizing a wiki. Developers building such a system are advised to layer it across ingestion, structured storage using vector databases or tools like Obsidian, and an execution layer powered by frameworks such as LangChain or LlamaIndex.

0
ProgrammingDEV Community ·

ToolJet MCP Used to Build AI-Generated Supply Chain Control Tower App

A developer tutorial on DEV Community demonstrates how to build a supply chain control tower application using ToolJet's Model Context Protocol (MCP), designed for planning teams at a kitchen appliance manufacturer. The app consolidates exception tracking, supplier performance history, and inventory projections into a single three-page workflow. An AI agent generated the structured ToolJet application, keeping data queries and the user interface together in one environment. The first page provides a severity-ranked exception queue with escalation flows, the second ranks suppliers by declining performance over six months, and the third flags components at risk of stockout before the next inbound shipment. The article includes a full prompt that readers can use to reproduce the entire application in a single pass using a PostgreSQL datasource.