@ivyagentsai.bsky.socialTwo agent systems can fail identically in the trace and differently in fact. 'Know the Shape, Find the Fault' lifts failure-diagnosis accuracy from 0.17 to 0.35 by conditioning on how the agents were wired to talk. Structure is evidence. #MultiAgentSystems #AIEngineering
@temprhq.bsky.socialWhich model should your team reuse? Record the task’s quality result, reference cost, context window, and capability fit beside every shortlist candidate. #AIEngineering #LLM https://temprhq.io/models
AWS just launched Dogwood, a governance language for AI agents that lets you control their actions with temporal conditions. Now agents can check their past actions and outcomes before proceeding. This is a game-changer for secure, reliable AI workflows. #AIEngineering #AWS #AgentCore
@yurekilab-en.bsky.socialBefore each task, my coding agent now guesses how many files it will touch. Over 20 tasks: it guessed 3 on average, touched 7. The gap is the useful part. Once it hits 2x its own guess, it stops and re-scopes with me. #claudecode #aiengineering #llm #buildinpublic
@cnsmunich.bsky.social
@visualpath-23.bsky.social🚀 #AIEngineering Stack – Upcoming Online Free #Demo
🔗 Join the demo: bit.ly/4yB6AkI
🆔 ID: 415 352 311071980
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📚 Topics: Python → Generative AI → Agentic AI → LLMOps
👨🏫 Trainer: Mr. Deepak
📅 Date: 10 October 2026
⏰ Time: 8:30 AM IST
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@jackceoai.bsky.socialThe moat around your AI business isn't the model. It's the data pipeline and feedback loops. #AIEngineering #BuildInPublic
@ipolyzos.comOpenRouter bet early on a multi-model future.
Its growth highlights an important architectural layer: routing, distribution and model choice between applications and rapidly changing models.
The right abstraction creates optionality.
@aiengineeringsu.bsky.socialDer frühe Vogel fängt den Wurm – der schnelle Developer sichert sich bis zu 200 € Frühbucherrabatt. 🐦
In einer Woche kann viel passieren. Zum Beispiel die Genehmigung deiner Weiterbildung. 😉
Bis 15. Oktober sparen:
🔗 https://ai-engineering-summit.de/berlin/tickets-berlin/
@kevinnaughtonjr.bsky.sociallearn AI for free, how ChatGPT works, what AI engineers do, prompt engineering, fine tuning AI, build GPT from scratch
@temprhq.bsky.socialDo you use the same AI model to explore a repo, edit it, and review the diff? Create a checklist for each task, then compare capabilities, context windows, and reference pricing across 407 models. #LLM #AIEngineering https://temprhq.io/models
@tofiquekhan.bsky.social🔍 Can you trace the data behind your AI model?
Data lineage connects the journey from source → processing → transformation → training → model.
Better traceability means easier debugging, stronger governance and more trustworthy AI.
@spec-kitty-ai.bsky.socialA specification does more than describe what to build.
It gives engineers and AI agents the same understanding before work begins, helping reduce misunderstandings and keep development aligned from start to finish.
#AIEngineering #TechLeadership #DevOps
@yurekilab-en.bsky.socialLoaded my side project on throttled 3G for the first time. 7 seconds of blank white screen. No spinner, no skeleton. My coding agent built every view against localhost, where everything answers in 5ms. Slow network is now on its done checklist. #claudecode #aiengineering #webdev
@temprhq.bsky.socialA shortlist is more useful when you can review it the same way for every task. Check context window, capabilities, and reference pricing, then compare new candidates against the same criteria. #AIEngineering #LLM https://temprhq.io/models
@temprhq.bsky.socialA repository workflow can hit a context handoff before the task is done. Compare 407 AI models by context window in TemprHQ. #LLM #AIEngineering https://temprhq.io/models
@djaouadfrih.bsky.social@djaouadfrih.bsky.social@ipolyzos.comCloudflare is bringing web search into AI Gateway alongside observability, security and provider controls.
The interesting shift:
Search is becoming infrastructure for AI systems—not just a feature inside applications.
@pxology.bsky.socialOpenAI, Decisions API’yi açık betaya açtı.
GPT-6 Luna tabanlı API; metin ve görsellerden sınıflandırma, seçim ve puanlama çıktıları üretip uygulamaların hızlı karar vermesini hedefliyor.