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@faun shared a link, 9 months, 2 weeks ago
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Why I chose OCaml as my primary language

OCaml’s grown up. Multicore support is in. So are user-defined effects. Under the hood, affine types, staged metaprogramming, and effect typing are steering it toward resource-safe programming—with actual thrust. Its type system still slaps: powerful modules, GADTs, algebraic types, and now first-c.. read more  

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@faun shared a link, 9 months, 2 weeks ago
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How I Use Claude Code to Ship Like a Team of Five

Claude Code zips out Ruby functions, tests, and pull requests viaCLIprompts across multiplegit worktrees. It slays manual typing and ejects IDE plugins. It spins up ephemeraltest environmentsto replay bugs, pries open externalgemcode, and syncs branches, commits, and PRs in one go... read more  

How I Use Claude Code to Ship Like a Team of Five
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@faun shared a link, 9 months, 2 weeks ago
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Lessons from scaling PostgreSQL queues to 100K events

RudderStack crankedPostgreSQLup to100K events/secas a queuing engine. The secret sauce: tight tuning of job partitioning, smarter indexing, tuned VACUUM timing, and compaction that didn't choke. Recursive CTEs stood in for loose index scans. Caching cut I/O repeats. They ditched byte slices to side.. read more  

Lessons from scaling PostgreSQL queues to 100K events
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@faun shared a link, 9 months, 2 weeks ago
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Git Branching Strategies: A Comprehensive Guide

This guide breaks down the major Git branching strategies—GitFlow,GitHub Flow,GitLab Flow,Trunk-Based Development, and a few others that still show up in wild repos. Each one gets sized up by structure, use case, and trade-offs. Think: how big the team is, how fast releases go out, and how people l.. read more  

Git Branching Strategies: A Comprehensive Guide
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@faun shared a link, 9 months, 2 weeks ago
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Ship tools as standalone static binaries

OpenAI’s rewritingCodexinRust, ditching the oldTypeScriptversion. Why? To ship it as a single static binary—no messy installs, no glue code juggling. Just run. Rust cuts down runtime failures, trims the attack surface, and kills off toolchain sprawl. Less fragility. More control. System shift:Team.. read more  

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@faun shared a link, 9 months, 2 weeks ago
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71% of Americans Say AI Could ‘Put People Out of Work Permanently’

Most Americans now see AI as a threat to their livelihoods, with71% fearing it could permanently wipe out jobs. The findings come from a new Reuters/Ipsos poll, which shows widespread anxiety across the US as AI threatens job security and challenges the future of employment. The World Economic Forum.. read more  

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@faun shared a link, 9 months, 2 weeks ago
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MCP Vulnerabilities Every Developer Should Know

MCP’s blowing up across platforms—but the security? Still sketchy. Think tool description injection. Botched OAuth. Open doors to supply chain attacks. The new MCP 2025-06-18 spec tries to clean house (no token passthrough, mandatory user consent), but most real-world setups either drag their feet .. read more  

MCP Vulnerabilities Every Developer Should Know
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@faun shared a link, 9 months, 2 weeks ago
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Is GPT-5 really worse than GPT-4o? Ars puts them to the test.

OpenAI walked back its latest release after users flaggedGPT-5for sounding flat, hallucinating more, and losing creative spark. The fix? Rolling back to the friendlierGPT-4o. Head-to-head tests told a nuanced story:GPT-5nailed accuracy and structure across most prompts. But when the task called for.. read more  

Is GPT-5 really worse than GPT-4o? Ars puts them to the test.
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@faun shared a link, 9 months, 2 weeks ago
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Tiny Agents in Python: a MCP-powered agent in ~70 lines of code

A new demo walks through buildingTiny Agents in Python—just ~70 lines using theModel Context Protocol (MCP). No boilerplate. Just clean LLM-to-tool hookups with standardized agent configs. Agents plug into multiple MCP servers out of the box—from local filesystems to Playwright browsers—and handle .. read more  

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@faun shared a link, 9 months, 2 weeks ago
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Building AI Products In The Probabilistic Era

Modern AI broke the rulebook. By spitting outstochastic outputs from unbounded inputs, it flipped software dev from a game of precision to one of probability. Old tools—funnels, SLO dashboards, crisp A/B tests—don’t quite fit anymore. They were built for systems that behaved. Today’s AI stacks mov.. read more  

Building AI Products In The Probabilistic Era
FAUN.dev() is a developer-first platform built with a simple goal: help engineers stay sharp without wasting their time. It curates practical newsletters, thoughtful technical blogs, and useful developer tools that focus on signal over noise.

Created by engineers, for engineers, FAUN.dev() is where experienced developers turn to keep up with the fast-moving world of DevOps, Kubernetes, Cloud Native, AI, and modern programming. We handpick what matters and skip the fluff.

If it’s on FAUN.dev(), it’s worth your attention.

Beyond curation, we run a course marketplace (WIP) designed to keep developers current. These courses go deep into the subjects that shape real-world work—things like Kubernetes internals, modern DevOps workflows, cloud-native architecture, and using AI tools to build faster and smarter. It’s practical learning, taught by people who’ve done the work. Developers from companies like GitHub, Netflix, and Shopify already rely on FAUN.dev() to stay on top of their game. They trust us because we keep it real: no hype, no filler, just what you need to grow and do your best work. For sponsors and partners, FAUN.dev() offers access to a focused, engaged audience of technical professionals. This isn’t just another broad developer community—it’s a place where smart engineers go to get smarter. If you have something meaningful to offer them, you’ll be in good company. In short, FAUN.dev() is more than a content hub. It’s a place to grow, to learn, and to connect with what really matters in software today.