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

. WEEKLY PICKS .

🤖 One Script Eliminates Phoenix Agent Setup Hell: The Phoenix AI agent setup script automated what every team does manually—downloading framework guides and structuring them for LLM training. No more explaining "why LiveView doesn't work like React" to AI assistants that hallucinate frontend patterns into server-side code.

Teams waste hours on prompt engineering that this tool eliminates automatically. The script extracts official Phoenix guides into agent-readable formats, teaching coding agents actual framework conventions instead of improvised patterns from outdated training data.

One command delivers what custom prompt libraries promise but never ship: AI agents that understand your framework from day one.

Automate your AI setup

🏢 298 Production Deployments vs Zero Recruiters Who Understand Elixir: Elixir Hub launched documenting 298 companies using Elixir in production, obliterating the "niche language" excuse that keeps hiring managers ignorant. Discord serves millions of concurrent users, WhatsApp handles billions of messages, yet teams still hear "we can't find Elixir talent" from recruiters who've never heard of BEAM.

The talent shortage is recruiter incompetence, not developer scarcity. This isn't another developer portal—it's evidence against willful ignorance.

Explore the real scale

🔧 Lua Integration Solves the User Code Security Nightmare: Elixir School's Lua tutorial reveals how to safely execute user-defined logic without the security risks that make platforms ban custom code entirely. Luerl integration runs sandboxed Lua scripts directly on BEAM VM, eliminating NIFs and external processes that create attack vectors.

Most platforms either ban user code or build expensive containerization. Lua's BEAM sandboxing provides the extensibility that Shopify charges premium for, with actual security guarantees. The deflua macro and private context prove user-defined business logic doesn't require sacrificing security.

Secure user scripting

🚀 Global Distribution Can't Fix Broken PostgreSQL Extensions: Experienced developer's brutal Fly.io assessment after three production deployments exposes what marketing won't mention. Global distribution works, but stability problems and missing citext extension support create production nightmares that beautiful landing pages hide.

"Mixed bag experience" and "stability isn't their strength" from someone who actually ships code. Marketing budgets buy conference demos, not operational reliability.

Read the reality check

While Developers Argue Frameworks, AI Collapsed SaaS Development by 75%

A veteran Elixir developer's third SaaS launch exposes what OpenAI's marketing budget won't admit: Amazon's Nova models deliver "extremely fast, low latency" results while OpenAI models "didn't work very well for the prompts I have." After integrating with five LLM providers across multiple production SaaS products, the brutal reality emerged—Nova outperforms while costing significantly less.

The timeline tells the real story: 3 months to build the first SaaS manually, 6 weeks for the second with basic AI, "just a few weeks" for the third using Claude Code. That's a 75% development time collapse while teams still waste months debating React versus Vue. OpenAI's $20B valuation bought mindshare, not performance.

Everyone assumes OpenAI leads because ChatGPT dominates headlines, but production demands different priorities than benchmark theater. Nova's speed and cost efficiency matter more when processing thousands of user requests daily. The developer configured "model groups" for specific tasks, proving that provider diversity beats single-vendor worship.

The breakthrough insight: automatic failover between LLM providers delivers more reliability than betting on one vendor's API uptime. When one model fails, the next handles the task seamlessly, eliminating single points of failure that kill user experience during provider outages.

Remember, for production AI integration:

1. Test multiple providers before committing – Nova's performance might surprise you compared to the marketing leaders

2. Configure model groups by task type – extraction, research, and generation need different optimization profiles

3. Build automatic failover between providers – eliminate single vendor dependency for critical features

4. Measure actual latency and cost in production – benchmark scores don't reflect real-world usage patterns

. 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 💜