Welcome to GigaElixir Gazette, your 5-minute digest of Elixir ecosystem news that actually matters 👋.

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. WEEKLY PICKS .

💭 Elixir Skepticism Finally Gets Destroyed

Matthew Sinclair wrote the nuclear response to every "Elixir isn't ready" argument poisoning architecture discussions. His systematic takedown covers the talent pool myth and AI-era advantages most teams are blind to. The piece proves functional programming makes LLMs actually useful instead of expensive.

Everyone defending Elixir with anecdotes finally has ammunition. While other teams debate adoption, smart teams leverage AI-native advantages to build self-reasoning systems.

End the debates

🤖 Community Admits AI Testing is Broken

The Elixir Forum exploded with confessions about AI evaluation after one developer shared their "Rubric" library using LLMs as judges. The thread exposes what everyone suspected: teams ship AI features without evaluation, burn money on API calls, and hope prompts work.

While everyone treats AI like a black box, Elixir teams build systematic evaluation frameworks that actually work.

Stop guessing

🔄 Reactor Exposes Your Workflow Amateur Hour

New video demonstrates workflow orchestration using Reactor and Ash AI, making it obvious how primitive most background job setups really are. The demo shows proper compensation, retry logic, and fault tolerance—capabilities that should be standard but aren't.

This is the gap between teams that understand distributed systems and teams that throw Redis at everything.

Upgrade your workflows

🚢 Kamal Deployment Guide Exposes DevOps Theater

AppSignal's Phoenix deployment guide with Kamal reveals teams over-engineering deployments while under-delivering on scaling. Multi-role deployments, Elixir clustering, and distributed monitoring—all simpler than most Kubernetes nightmares.

While everyone drowns in YAML files, Phoenix teams deploy distributed systems with single commands.

Simplify immediately

. PRO TIPS .

Stop Profiling in Dev Mode (You're Chasing Ghosts)

Everyone profiles in development mode because it's "convenient." Your API crawls at 15 requests per second, your database queries timeout, and your GenServers form queues under load. So you optimize the wrong things, add caching layers you don't need, and ship "fixes" that don't actually fix anything.

Here's the truth: development mode makes your code perform 100x worse through code reloading, file watching, and verbose logging. That GenServer bottleneck you're obsessing over? It's fast in production. That database query you're optimizing? It only times out because dev mode logs every parameter.

Smart teams profile the right environment from day one. They spin up production builds locally and use proper profiling tools to identify real bottlenecks, not development artifacts. The performance gap isn't marginal—it's the difference between 15 req/sec and 1079 req/sec, between chasing phantom problems and fixing what actually matters.

Remember, for performance that actually matters:

1. Use MIX_ENV=prod always - eliminate development tooling lies

2. Profile with :observer - see actual process behavior, not dev artifacts

3. Use :fprof for surgical analysis - trace real execution paths and timing

4. Measure production reality - validate optimizations against real performance

. TIRED OF DEVOPS HEADACHES? .

Deploy your next Elixir app hassle-free with Gigalixir and focus more on coding, less on ops.

We're specifically designed to support all the features that make Elixir special, so you can keep building amazing things without becoming a DevOps expert.

See you next week,

Michael

P.S. Forward this to a friend who loves Elixir as much as you do 💜