Microsoft released Amplifier, an experimental development environment that enhances AI coding assistants with 20+ specialized agents, a knowledge extraction system, parallel worktree workflows, and automatic conversation transcript preservation. The tool provides pre-loaded patterns, context management, and automation to transform AI assistants into more capable development partners. It requires Python 3.11+, UV, Node.js, and works primarily in WSL2, though it's explicitly marked as early-stage research software with no stability guarantees or official support.

pdfly is a Python-based CLI tool for PDF manipulation, offering features like metadata display, page extraction and merging, document compression, image extraction, text extraction, and PDF signing. The newly released version 0.5.0 adds digital signature verification, annotated page extraction, and page rotation capabilities. Built on fpdf2 and pypdf libraries, it provides a comprehensive solution for common PDF operations through simple command-line interfaces.

Ovi is an open-source audio-video generation model that simultaneously creates synchronized 5-second videos and audio from text or text+image inputs. The 11B parameter model supports flexible resolutions (720×720 to 960×960), multiple aspect ratios, and includes a custom-trained 5B audio branch. It offers inference options for single or multi-GPU setups, includes memory optimization features like fp8 quantization and CPU offloading for 24GB GPUs, and provides integration with Gradio UI and ComfyUI. The model is based on research from Character AI and builds upon Wan2.2 for video and MMAudio for audio processing.

Gleam v1.13.0 introduces formalized external APIs for JavaScript interop, allowing safer integration with external code through dedicated functions for constructing and accessing Gleam data types. The release includes significant compiler improvements: enhanced bit array exhaustiveness checking with interference-based pruning, unused argument detection in recursive functions, and better fault-tolerant analysis. The language server gains multiple new code actions including extract function, collapse nested cases, and pattern matching helpers. Additional improvements include better error messages for common syntax mistakes from other languages, dependency version change notifications, and enhanced type display in documentation.

A founder shares their journey pivoting liquidcode from a collaborative coding platform to a competitive programming arena. After realizing users lacked motivation to solve challenges without incentives, they rebuilt 80% of the platform to enable head-to-head coding contests with coin-based entry fees, community voting, and trophy rankings. The new version aims to become a leading platform for discovering top developer talent through gamified competition.