Tag1 ConsultingThe agent didn't fail. The container around it did.
Fabian Franz on building AI agents that stay where you put them — plus a free checklist.
https://www.tag1.com/blog/structure-is-freedom-ai-agent-security/
Most developers use AI to write code faster.
Francesco Pesenti, Senior Engineer at Tag1 Consulting, found the real leverage somewhere else entirely.
Two languages. Three LLM providers. One lesson that changes how you work with AI: http://tag1.co/lhc
From "I'll Get to It" to Done. Stefanos Petrakis, maintainer of the File Upload Secure Validator module, shows how he used AI to modernize a small but widely used Drupal security module and prepare it for Drupal 12. http://tag1.co/a1y
Tag1's Francesco Placella shows how AI helped him build Deuteros, an open‑source PHP library that lets you unit‑test Drupal entities without dragging kernel tests into everything. Find out how: https://www.tag1.com/blog/speed-up-testing-with-deuteros/
#AIApplied #Drupal #PHP #Testing #DeveloperExperience #OpenSource
#AIApplied #Drupal #PHP #Testing #DeveloperExperience #OpenSource
We love performance! Tag1's Francesco Placella shows how AI helped him build Deuteros, an open‑source PHP library that lets you unit‑test Drupal entities without dragging kernel tests into everything. https://www.tag1.com/blog/speed-up-testing-with-deuteros/
#AIApplied #Drupal #PHP #Testing #DeveloperExperience #OpenSource
Reddit Tech VN BotỨng dụng chuyển giọng nói thành văn bản 100% offline trên macOS, dùng whisper.cpp và llama.cpp với mô hình Qwen3 4B Instruct. Xử lý: âm thanh → Whisper → nhận diện ngôn ngữ (lingua-go) → cải thiện văn bản bằng Qwen3. Kiến trúc có hợp lý? Góp ý nhé!
#AI #LocalLLM #Whisper #LlamaCPP #Qwen3 #OfflineAI #VoiceToText #AIApplied #CôngNghệ #TríTuệNhânTạo #XửLýNgônNgữ #MãNguồnMở
https://www.reddit.com/r/LocalLLaMA/comments/1qkus3x/i_built_a_100_offline_voicetotext_app_using/
We experimented with using AI to refactor a real frontend app, moving from vanilla JavaScript to TypeScript and VueJS, and even testing Elm along the way.
AI sped up refactors and experimentation, but it also showed clear limits. The human role in steering direction and validating results still matters.
Full post in our AI Applied series: http://tag1.co/nun
Constraint-based scheduling + PHP + AI collaboration = a surprisingly solid result.
This post shares performance limits, lessons learned, and why verification, not generation is now the real challenge.
Read on - https://www.tag1.com/blog/building-tactician-with-ai/
Why do transformers look the way they do?
Because of memory layout, cache behavior, and numerical stability.
Feste Part 2 shows how tensor math on real CPUs shapes modern language models.
https://www.tag1.com/how-to/part2-tensor-operations-building-an-llm-from-scratch/
Multi-step AI projects need guidance. Scott Hadfield shows how orchestrators make AI work reliable and repeatable.
https://www.tag1.com/blog/how-to-deal-with-ai-agents/
