EU and UK public tenders in one schema, with OCDS export
Public tenders are published in several places with different fields. If you track them for a product, a bid team or an agent, you end up writing a parser per source.
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Public tenders are published in several places with different fields. If you track them for a product, a bid team or an agent, you end up writing a parser per source.
Building the Payment Layer for AI: x402 Protocol Infrastructure for Autonomous Agents AI agents will need to pay for compute, data, and API calls — and the infrastructure to let them do that autonomously exists today.
AI has changed software development dramatically. Today, a developer can describe an idea, generate code in seconds, fix bugs, redesign a UI, add features, and repeat the process almost endlessly. It feels productive. But there is a growing problem: Sometimes, we are not being productive.
Hey everyone! I'm Jelaxsi , an undergrad at South Eastern University of Sri Lanka (SEUSL) 🇱🇰. I'm finally joining DEV, mostly because I'm tired of building things and never writing about them. What I'm into I like building stuff that solves real problems, especially around AI and IoT.
Introduction Artificial Intelligence (AI) is changing the way students learn and teachers teach. From personalized learning to AI-powered educational tools, technology is becoming an important part of modern education.
IBM is scaling its existing research partnerships with the Indian Institute of Technology Bombay and the Indian Institute of Science to advance computing technology. The initiative focuses on sovereign AI, agentic systems, and quantum computing.
Key takeaways Snap Inc asks candidates to answer behavioral questions in a format it calls S.A.I.L., short for Situation, Action, Impact, Learning. It overlaps with the more familiar STAR method and adds a fourth step.
Too few tokens, too many spare quotas I do most of my development on a Claude Code subscription. Right now Claude Fable 5.1 and Opus 5.5 work extremely well, and I would simply call them the state of the art. The only problem is that I keep running out of tokens.
Every team evaluating Model Context Protocol (MCP) servers reaches the same question: do we hand-maintain a second description of our API for agents, or do we generate it from the contract we already have? If you keep an OpenAPI document, the second answer is the sane one.
I'm building DevPilot AI, an open-source AI software engineering assistant designed to help developers understand, modify, test, and work with real codebases. The goal isn't just to build another chatbot.
Today, we’re starting our journey, on DEV.to. We’re a software and AI agency focused on building practical technology that helps businesses work smarter, automate repetitive processes, and create better digital experiences.
Two documents appeared on 8 September. An arXiv paper measures what happens when a coding agent reads a poisoned repository under four permission models.
Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article.
In Part 3, I introduced the optional AI layer in AdaptTable v3. This article goes deeper into how to connect it, how an agent discovers the table’s capabilities, how context is selected, and how an application can extend that capability set without building a separate AI tool layer for the table.
Day 3 of 30 Days of Search. A research task does not always end with a report. Your app might need JSON. An analyst might need an Excel workbook. A team meeting might need slides. Searching is very common and popular.
Your agent just told you it sent the proposal. The tool call came back with an id, the trace shows a clean green step, and the customer never got the email. That gap is small and quiet, and it is the thing underneath a loud week.
Apple says it will add controls around macOS Full Disk Access because increasingly capable AI agents make broad access to personal data riskier. The announcement comes during a dispute about Meta Muse reading a user's private messages.
A candidate-scoring pipeline should treat transcription as a discovered dependency, not as a feature implied by an OpenAI-compatible base URL. Check the capability manifest before accepting audio, keep separate eligibility decisions for US and EU deployments, and route to an approved speech…
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