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Technology 24 summaries
Apr 27 - May 03, 2026
4 videos
Debounceable jobs, Pest sharding, and API starter kits thumbnail

Debounceable jobs, Pest sharding, and API starter kits

Episode 257 surveys a wide range of Laravel and developer tooling updates. It covers Laravel 13.5–13.6 features (debounce for cued jobs, health-check JSON routes, JSON-formatted logs, Cloudflare email, enum support across managers), Pest 4.5/4.6 improvements (flaky-test handling, time-based sharding), and new tooling for testing, architecture checks, and AI-friendly enhancements (geo profiles, vector storage, and Paperdoc/Paperdo integrations). The hosts also discuss practical tips for CI, shard timing, and staying secure with Composer self-update and vulnerability notes.

00:03:27 read 00:44:43 video 18 chapters
The first official Laravel Meetup in Georgia thumbnail

The first official Laravel Meetup in Georgia

Two guests discuss Redberry hosting Georgia's first Laravel meetup, covering the event details, speakers, venue, language, and future plans for sustaining a local Laravel community.

00:00:37 read 00:29:10 video 10 chapters
Mastering Laravel Caching: A Case Study with Laravel News thumbnail

Mastering Laravel Caching: A Case Study with Laravel News

The video walks through making a dynamic Laravel news site cacheable by refactoring Livewire components to blade, adding server-side caching, and wiring in Cloudflare edge caching, including testing, deployment, and observing results while promoting a new course on caching techniques.

00:00:55 read 00:24:10 video 12 chapters
RAG with Embeddings and pgvector in Laravel 13 - Ship AI with Laravel EP5 thumbnail

RAG with Embeddings and pgvector in Laravel 13 - Ship AI with Laravel EP5

The video demonstrates building a semantic search-powered knowledge base in Laravel 13 using embeddings and Postgres vector support. It covers creating a KnowledgeArticle model, migrations, seed data, generating embeddings, implementing a vector-based search, wiring a support KB test route, and enabling a knowledge-base-driven agent that answers customer queries without guessing. Key points include embedding basics, how semantic search differs from keyword search, indexing for fast lookups, and guiding the agent to rely on the knowledge base rather than hallucinating.

00:01:25 read 00:13:28 video 10 chapters

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