The ecosystem around Agentic Engineering is evolving in parallel with an accelerated race to ship new and more capable models while dealing with GPU capacity constraints. This mix of challenges in processes, tools, and infrastructure build-out results in fast-paced change with implications that cannot be easily foreseen. We will continue hitting various bottlenecks as progress is made, revisiting old approaches or adding new ones. All we can do is embrace the uncertainty and adjust course when needed. With the bottleneck shifting from generation to orchestration and verification, we have an opportunity to close some of the gaps in processes and systems that have existed for a long time and, in doing so, improve the industry as a whole.I took some time to recap my observations, highlighting the constraints and bottlenecks that will shape the coming weeks and months: https://ocytko.net/posts/quo-vadis-agentic-engineering/#LLM #agents #engineering
Related
🔗 Collega i tuoi strumenti all’AI con gli MCP: una guida pratica per PMI per integrare dati, flussi e automazioni senza ...
🔗 Collega i tuoi strumenti all’AI con gli MCP: una guida pratica per PMI per integrare dati, flussi e automazioni senza complessità . #AI #PMI🔗 https://www.tomshw.it/aioperator/coll...
12 rejections.A senior MLE caught the data leak in her take-home in 20 min. Then taught her how to find them herself.6 w...
12 rejections.A senior MLE caught the data leak in her take-home in 20 min. Then taught her how to find them herself.6 weeks. 1-on-1.→ ML Engineer at a product company. First offer...
Ils savent depuis le début que leurs ia c'est de la merde.Mais ils essayent quand même de nous les refourguer à toute fo...
Ils savent depuis le début que leurs ia c'est de la merde.Mais ils essayent quand même de nous les refourguer à toute force, parce que c'est leur dernière bouée pour essayer d'enra...