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Trending on GitHub

Thursday, July 09, 2026 · 3 stories, curated & summarized — click any story for the source.

Barman versions 3.19.0 and 3.19.1 introduce the ability to restore backups directly from cloud object storage, supporting both local-to-cloud and postgres backup methods. These releases also include a new barman cloud-wal-restore command to streamline disaster recovery workflows. The updates allow DBAs to manage recovery for multiple remote servers from a single location without requiring intermediate local storage steps.

  • Direct restore from cloud object storage reduces recovery time and local storage requirements.
  • New barman cloud-wal-restore command simplifies continuous archiving recovery processes.
  • Supports both local-to-cloud and postgres backup methods for flexible DR strategies.
  • Quick succession of 3.19.0 and 3.19.1 suggests immediate bug fixes or refinements.
HOW IT WORKSBarman 3.19 Direct Cloud Restore1Backup PostgreSQL locally2Transfer to cloud storage3Restore directly from cloud4Recover remote servers

The former CEO of GitHub has launched a new competitor platform specifically built for the emerging wave of vibe coding. This move comes as GitHub faces growing difficulties in managing the increasing load from AI-driven development tools. The new venture aims to capture market share by offering infrastructure tailored to modern, AI-centric workflows rather than traditional repository management.

  • Former GitHub leadership is directly challenging incumbent with AI-native infrastructure.
  • GitHub is struggling to scale for current AI coding tool loads, creating opening for rivals.
  • New platform targets 'vibe coding' workflows, indicating a shift in developer tooling priorities.
  • Market fragmentation expected as specialized AI coding platforms emerge alongside legacy hosts.
GitHub Trending (daily) githubrepos ↺ since 07-07 ⚠ unverified date/source

addyosmani/agent-skills packages senior engineering workflows for AI coding agents

This GitHub repository provides production-grade engineering skills designed to guide AI coding agents through standard development lifecycles. It encodes workflows, quality gates, and best practices into structured packages that ensure consistency across phases like planning, building, and reviewing. The project utilizes eight slash commands to automatically activate specific skills corresponding to stages from idea definition to shipping code.

  • Standardizes AI agent behavior by encoding senior engineer best practices into reusable skills
  • Covers full lifecycle with slash commands for spec, plan, build, test, review, and ship
  • Ensures consistent quality gates and workflows across every phase of software development
  • Packaged for easy integration into AI coding tools to reduce manual oversight
WORTH QUOTINGThe gistThis GitHub repository provides production-grade engineeringskills designed to guide AI coding agents through standarddevelopmen…— GitHub Trending (daily)