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⚡ AI Lessons

Dev.to · MORINAGA
2d ago
Two-host AI dialogue specs: how I structure YouTube longform scripts with A/B speaker JSON
The two-speaker JSON spec format I use for AI-narrated YouTube explainers: segment beats, voice assignment, slide attachment, and what the CI build does with it

Dev.to · MORINAGA
2d ago
How I built a pre-post QC gate that blocks Bluesky automation from self-revealing
Building bluesky-qc.mjs: a four-gate pipeline stage that runs between a JSONL queue and the post script, catching vocabulary leaks, stale entries, and low-engag

Dev.to · MORINAGA
🧠 Large Language Models
⚡ AI Lesson
2d ago
What I'm watching this week: OpenClaw, Trellis.2, Gemma 4, and two more
Five open-source AI releases worth bookmarking from the week of May 26–30 2026, annotated for builders running lean AI stacks.

Dev.to · MORINAGA
☁️ DevOps & Cloud
⚡ AI Lesson
2d ago
5 things I noticed this week: CI cost, Bluesky QC, and CC0 licensing
Weekly observations from running three programmatic SEO sites and an AI video pipeline: Actions budget, Bluesky post quality gates, CC0 image pitfalls, and more

Dev.to · MORINAGA
📣 Digital Marketing & Growth
⚡ AI Lesson
2d ago
Openverse CC0 images in a monetized YouTube pipeline: four things to check first
Practical notes on using the Openverse API for license-clear slide photos: which license filter to request, why images fail silently, and what courtesy attribut

Dev.to · MORINAGA
☁️ DevOps & Cloud
⚡ AI Lesson
3d ago
What I learned adding diagram and chart slides to a CI-rendered YouTube pipeline
Pre-rendering Mermaid and matplotlib charts to PNG before slide composition is the only approach that works reliably in headless CI. Here is what that looks lik

Dev.to · MORINAGA
⚡ AI Lesson
3d ago
Netdata vs SigNoz vs OpenObserve: self-hosted observability for indie projects
Three open-source tools that cover the Datadog surface area — metrics, traces, and logs — what each actually does well, and which fits an indie dev's constraint

Dev.to · MORINAGA
🔄 Data Engineering
⚡ AI Lesson
3d ago
How I built the OSS alternatives directory: GitHub ETL, Turso, and the UPSERT trap I hit
Building ossfind.com's data pipeline: two-phase seeding, GitHub API fetching, Claude Haiku summaries, and the DO NOTHING bug that silently erased polished conte

Dev.to · MORINAGA
💻 AI-Assisted Coding
⚡ AI Lesson
3d ago
Four free neural TTS options for CI pipelines — edge-tts, Kokoro, MeloTTS, Bark
Comparing edge-tts, Kokoro-82M, MeloTTS, and Bark as free neural TTS options for automated video pipelines running inside GitHub Actions without a GPU.

Dev.to · MORINAGA
4d ago
How I built a YouTube slide renderer in Python — eight kinds, no browser
Building a 1920x1080 PNG slide system with Pillow: dispatch tables, brand chrome, table layouts, and a thumbnail renderer — all from a JSON spec in CI.

Dev.to · MORINAGA
4d ago
Upgrading fallback AI model entries to curated quality with a deterministic hash pool
How polish.py upgrades 380 model entries without an API call: MD5-based pool selection, license and framework extraction from HuggingFace tags, and why determin

Dev.to · MORINAGA
📐 ML Fundamentals
⚡ AI Lesson
4d ago
How I built a YouTube performance classifier that adjusts tomorrow's video script bias
The yt-analytics auto-tuner I run daily: median view classification, title-overlap archetype matching, first-word hook heuristics, and writing bias back to the

Dev.to · MORINAGA
🛠️ AI Tools & Apps
⚡ AI Lesson
4d ago
Notable releases I'm watching: Deno 2.8, Models.dev, DeepSeek V4 Pro permanent pricing
Five links from the week of May 19 that caught my attention as someone running three AI-curated directory sites on a $25/month stack.

Dev.to · MORINAGA
5d ago
How I schedule three daily Bluesky posts from a JSONL queue without an external service
A JSONL queue file, a Node.js script that builds richtext facets for hashtags and URLs, and off-minute GitHub Actions cron scheduling — no third-party scheduler

Dev.to · MORINAGA
5d ago
What I learned building a scripted two-host video pipeline with edge-tts and ffmpeg
How I render 1920x1080 YouTube videos from a JSON dialogue spec using edge-tts neural TTS, Pillow slides, and ffmpeg concat — all inside GitHub Actions with no

Dev.to · MORINAGA
🛠️ AI Tools & Apps
⚡ AI Lesson
5d ago
Three GPU affiliate programs I wired into an AI tool directory
RunPod, Vast.ai, and Hetzner Cloud as contextual affiliate links on model pages — how I implemented them, which ones are actually clickable, and what converts.

Dev.to · MORINAGA
5d ago
What I learned building pipeline-aware content variants in a static Astro directory
Using HuggingFace pipeline_tag to branch editorial copy at build time across 400+ model pages — what worked, what broke, and how I handle null tags.

Dev.to · MORINAGA
6d ago
Astro 5 content collections as an editorial layer in a programmatic site
How I slot per-entry human editorial takes into auto-generated comparison pages using Astro 5 content collections, and when the pattern is worth the overhead.

Dev.to · MORINAGA
6d ago
What I learned adding E-E-A-T transparency pages to a programmatic directory
How I built methodology, about, and affiliate-disclosure pages for an AdSense re-application — and what surfacing code logic as prose actually means.

Dev.to · MORINAGA
6d ago
How I kept 62 of 80 programmatic pages alive while hiding them from Google
The isCurated gate I built for ossfind: generate all alternative pages, but gate which ones appear in sitemap, RSS, navigation, and robots meta.

Dev.to · MORINAGA
1w ago
Three sleep intervals for three APIs: Steam 250ms, GitHub 100ms, HuggingFace none
How I set rate-limit sleep intervals for Steam, GitHub, and HuggingFace ETL pipelines — the specific numbers, the failure modes, and what each API actually tole

Dev.to · MORINAGA
1w ago
How I built a three-tier content quality ladder for programmatic directory ETL
The model_used column, upgrade query pattern, and fallback chain I use to progressively enrich three Turso-backed Astro directories with Claude Haiku.

Dev.to · MORINAGA
📣 Digital Marketing & Growth
⚡ AI Lesson
1w ago
Static site search for Astro in 2026: why I picked Pagefind over Algolia and Lunr
A practical comparison of Pagefind, Algolia DocSearch, and Lunr.js for an Astro SSG directory — build-time trade-offs, cost, and bundle size.

Dev.to · MORINAGA
🧠 Large Language Models
⚡ AI Lesson
1w ago
How I built pairwise AI model compare pages with Claude Haiku and a budget cap
The O(n²) combinatorics problem with AI directory compare pages, how I budget-capped Claude Haiku calls, and dumped results to static JSON for Astro.
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