ContentPosts from @varbear..
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@varbear shared a link, 2 months, 2 weeks ago
FAUN.dev()

The state of the Rust dependency ecosystem

A deep dive into 200,650 Rust crates shows a brewing maintenance problem:45% are inactive, andover half of new crates never see a second update- a wild jump from just 1.4% in 2015. Zoom in on the top 1,000 crates, and it gets messier.249 dependencies have been abandoned, and158 are stuck on older ma.. read more  

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@varbear shared a link, 2 months, 2 weeks ago
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The Green Tea Garbage Collector

Go 1.25 drops an experimental GC calledGreen Tea. It flips the script on object traversal - scanning memory pages instead of hopping from object to object. The payoff? Up to40% less GC CPU overheadon real workloads. Bonus: it taps intoAVX-512on newer x86 chips forvectorized scanning. Turns out strea.. read more  

The Green Tea Garbage Collector
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@varbear shared a link, 2 months, 2 weeks ago
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AI's 70% Problem

Google’s Addy Osmani dropped a stat: AI now writesover 30% of the codeat Google. Impressive. But the hard part - the last 30% - still needs a human brain. That’s where the bugs live:security, edge cases, production wiring. No shortcut. And while AI adoption keeps climbing in greenfield work,trust is.. read more  

AI's 70% Problem
News FAUN.dev() Team
@varbear shared an update, 2 months, 2 weeks ago
FAUN.dev()

Redis Fixes Critical Vulnerability - Update Your Instances Now

Redis

Redis addresses a critical remote code execution vulnerability, CVE-2025-49844, by releasing fixed versions and recommending best practices to protect instances.

Redis Fixes Critical Vulnerability - Update Your Instances Now
News FAUN.dev() Team
@varbear shared an update, 2 months, 2 weeks ago
FAUN.dev()

GitHub Unveils Agent HQ: A Unified Platform for Managing AI Agents

GitHub Copilot

GitHub’s new Agent HQ unifies AI tools from OpenAI, Anthropic, and Google directly within GitHub. It offers centralized management for AI agents through mission control, custom agent setup, code quality tracking, and enterprise governance - all designed to streamline AI-driven development while keeping control and visibility in one place.

GitHub Unveils Agent HQ: A Unified Platform for Managing AI Agents
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@varbear shared a link, 2 months, 4 weeks ago
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Free software scares normal people

A developer rolled outMagicbrake- a no-fuss GUI forHandbrakeaimed at folks who don’t speak command line. One button. Drag, drop, convert. Done. It strips Handbrake down to the bones for anyone who just wants their video in a different format without decoding flags and presets... read more  

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@varbear shared a link, 2 months, 4 weeks ago
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The bug that taught me more about PyTorch than years of using it

A sneaky bug inPyTorch’s MPS backendlet non-contiguous tensors silently ignore in-place ops likeaddcmul_. That’s optimizer-breaking stuff. The culprit? ThePlaceholder abstraction- meant to handle temp buffers under the hood - forgot to actually write results back to the original tensor... read more  

The bug that taught me more about PyTorch than years of using it
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@varbear shared a link, 2 months, 4 weeks ago
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uv is the best thing to happen to the Python ecosystem in a decade

uvis a new Rust-powered CLI from Astral that tosses Python versioning, virtualenvs, and dependency syncing into one blisteringly fast tool. It handles yourpyproject.tomllike a grown-up—auto-generates it, updates it, keeps your environments identical across machines. Need to run a tool once without t.. read more  

uv is the best thing to happen to the Python ecosystem in a decade
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@varbear shared a link, 2 months, 4 weeks ago
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Kafka is fast -- I'll use Postgres

Postgres is pulling Kafka moves—without the Kafka. On a humble 3-node cluster, it held 5MB/s ingest and 25MB/s egress like a champ. Low latency. Rock-solid durability. Crank things up, andsingle-node Postgresflexed hard: 240 MiB/s in, 1.16 GiB/s out for pub/sub. Thousands of messages per second in q.. read more  

Kafka is fast -- I'll use Postgres
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@varbear shared a link, 2 months, 4 weeks ago
FAUN.dev()

How Netflix Tudum Supports 20 Million Users With CQRS

Netflix gutted Tudum’s old read path—Kafka, Cassandra, layers of cache—and swapped inRAW Hollow, a compressed, distributed, in-memory object store baked right into each microservice. Result? Homepage renders dropped from 1.4s to 0.4s. Editors get near-instant previews. No more read caches. No extern.. read more  

How Netflix Tudum Supports 20 Million Users With CQRS