🧩 Judo – a sleek GUI for power Git users
A promising utility for developers who live in Git – Judo could simplify patch management and streamline daily workflows with a visual, Python-powered interface.
Judo is a developer tool that enables users to apply, revert, and manage changes across diffs, files, and commits with precision. It supports advanced Git operations such as duplicating, squashing, and reverting multiple commits at once, offering developers a more intuitive way to manage complex version histories.
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💧 Flink Watermarks Explained – Making Sense of Stream Timing
A must-read for stream engineers—this piece turns a tricky Flink behavior into an actionable insight on event-time management and reliable output emission.
This article demystifies how Apache Flink manages event time using watermarks in stream processing. It describes cases where delayed or missing events block watermark advancement, preventing time windows from emitting results. Through a practical retail data example, it shows how inserting a dummy event can flush the pipeline and release pending outputs.
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📚 Lessons from Building a Production RAG System at 5M+ Documents
A rare, experience-based deep dive into the real-world challenges of RAG at scale—essential reading for ML engineers moving from prototypes to production.
An engineer reflects on scaling Retrieval-Augmented Generation systems to handle over five million documents, detailing which techniques succeeded—like reranking, query generation, and smarter chunking—and which fell short. The post breaks down the production stack featuring Pinecone, Turbopuffer, Cohere, and GPT models, and introduces the open-source framework agentset-ai/agentset.
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🔬 A Laser Pointer at 2 Billion FPS
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🌐 Go Adds Native Comparison for IP Subnets
A subtle yet impactful improvement for Go network developers, bringing more clarity and uniformity to IP handling in the core library.
The Go team approved a proposal adding a `Compare` method to `netip.Prefix`, allowing standardized comparison and sorting of IP subnets. The update aligns with IANA and Python conventions, reducing redundant custom implementations and improving code consistency in network applications.
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