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Po Linn Chia presented how they re-used a single development environment to deploy multiple service versions for testing their distributed system in her presentation "No QA Environment? No Problem" at Dev Summit Boston. A small enablement team, cultural buy-in, and gradual learning helped teams collaborate, reduce cognitive load, and scale testing practices.
Hugging Face has launched Community Evals, a feature that enables benchmark datasets on the Hub to host their own leaderboards and automatically collect evaluation results from model repositories.
Spec‑Driven Development shifts AI‑augmented software delivery from tactical prompting to collaborative intent articulation. Enterprises face gaps in tooling, workflow integration, multi‑repo coordination, and cross‑functional collaboration. Sustainable adoption requires treating specs as living, shared interfaces, and evolving organizational practices.
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository tasks using coding agents that understand context and intent, GitHub says. This enables workflows such as automatic issue triage and labeling, documentation updates, CI troubleshooting, test improvements, and reporting.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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How a Small Enablement Team Supported Adopting a Single Environment for Distributed Testing
Po Linn Chia presented how they re-used a single development environment to deploy multiple service versions for testing their distributed system in her presentation "No QA Environment? No Problem" at Dev Summit Boston. A small enablement team, cultural buy-in, and gradual learning helped teams collaborate, reduce cognitive load, and scale testing practices.
By Ben LindersHugging Face Introduces Community Evals for Transparent Model Benchmarking
Hugging Face has launched Community Evals, a feature that enables benchmark datasets on the Hub to host their own leaderboards and automatically collect evaluation results from model repositories.
By Daniel DominguezArticle: Spec-Driven Development – Adoption at Enterprise Scale
Spec‑Driven Development shifts AI‑augmented software delivery from tactical prompting to collaborative intent articulation. Enterprises face gaps in tooling, workflow integration, multi‑repo coordination, and cross‑functional collaboration. Sustainable adoption requires treating specs as living, shared interfaces, and evolving organizational practices.
By Hari KrishnanGitHub Agentic Workflows Unleash AI-Driven Repository Automation
Recently launched in technical preview, GitHub Agentic Workflows introduce a way to automate complex, repetitive repository tasks using coding agents that understand context and intent, GitHub says. This enables workflows such as automatic issue triage and labeling, documentation updates, CI troubleshooting, test improvements, and reporting.
By Sergio De SimonePresentation: Panel: Modern Data Architectures
The panelists emphasize that data engineering is no longer just about "click-and-drag" UI tools; it is software engineering applied to data.
By Fabiane Nardon, Matthias Niehoff, Adi Polak, Sarah Usher