An AI benchmark is only a starting point. Test models on representative tasks, messy inputs, latency, cost, and failure recovery before choosing one for production. #AIEngineering #MLOps
November 1, 2026 at 11:50 AM
An AI benchmark is only a starting point. Test models on representative tasks, messy inputs, latency, cost, and failure recovery before choosing one for production. #AIEngineering #MLOps
Don’t choose an AI model by leaderboard alone. Test it on your actual tasks, messy inputs, failure cases, latency, and cost. #AIEngineering #MLOps #ArtificialIntelligence
November 1, 2026 at 4:01 PM
Don’t choose an AI model by leaderboard alone. Test it on your actual tasks, messy inputs, failure cases, latency, and cost. #AIEngineering #MLOps #ArtificialIntelligence
When AI agents start taking actions, risk becomes more than a cybersecurity problem.
A new paper explores autonomous AI liability and insurance.
The takeaway: governance, observability, and accountability matter.
arxiv.org/pdf/2606.05449
#AgenticAI #AIEngineering
A new paper explores autonomous AI liability and insurance.
The takeaway: governance, observability, and accountability matter.
arxiv.org/pdf/2606.05449
#AgenticAI #AIEngineering
arxiv.org
November 2, 2026 at 12:37 PM
When AI agents start taking actions, risk becomes more than a cybersecurity problem.
A new paper explores autonomous AI liability and insurance.
The takeaway: governance, observability, and accountability matter.
arxiv.org/pdf/2606.05449
#AgenticAI #AIEngineering
A new paper explores autonomous AI liability and insurance.
The takeaway: governance, observability, and accountability matter.
arxiv.org/pdf/2606.05449
#AgenticAI #AIEngineering
A model update can change behavior even when the interface stays the same. Version prompts, models, and retrieval settings together so teams can reproduce results and catch regressions before release. #MLOps #AIEngineering
November 2, 2026 at 8:58 AM
A model update can change behavior even when the interface stays the same. Version prompts, models, and retrieval settings together so teams can reproduce results and catch regressions before release. #MLOps #AIEngineering
A model update can change behavior even when the interface stays the same. Version prompts, models, and retrieval settings together so teams can reproduce results and catch regressions before release. #MLOps #AIEngineering
November 2, 2026 at 8:57 AM
A model update can change behavior even when the interface stays the same. Version prompts, models, and retrieval settings together so teams can reproduce results and catch regressions before release. #MLOps #AIEngineering
Discordia has left the building. Monk mode until 1.1 ships.
Azathoth is moving into AWS: Postgres, Bedrock, multi-hour runs that don’t die on deploy, and resume when they do.
Open source. pip install azathoth-ai
#Azathoth #OpenSource #AWS #AIEngineering #BuildInPublic
Azathoth is moving into AWS: Postgres, Bedrock, multi-hour runs that don’t die on deploy, and resume when they do.
Open source. pip install azathoth-ai
#Azathoth #OpenSource #AWS #AIEngineering #BuildInPublic
October 31, 2026 at 3:31 PM
Discordia has left the building. Monk mode until 1.1 ships.
Azathoth is moving into AWS: Postgres, Bedrock, multi-hour runs that don’t die on deploy, and resume when they do.
Open source. pip install azathoth-ai
#Azathoth #OpenSource #AWS #AIEngineering #BuildInPublic
Azathoth is moving into AWS: Postgres, Bedrock, multi-hour runs that don’t die on deploy, and resume when they do.
Open source. pip install azathoth-ai
#Azathoth #OpenSource #AWS #AIEngineering #BuildInPublic
Choose an AI model against the work it must do: test representative examples, measure latency and cost, and check how it behaves when inputs are messy. Fit matters more than a single leaderboard score. #AIEngineering #Evaluation
November 1, 2026 at 6:20 AM
Choose an AI model against the work it must do: test representative examples, measure latency and cost, and check how it behaves when inputs are messy. Fit matters more than a single leaderboard score. #AIEngineering #Evaluation
Claude Code Subagents: Building Specialized AI Developers
#ClaudeCode #AI #AIEngineering #AgenticAI #SoftwareDevelopment #DeveloperTools #MCP #MultiAgentSystems
code.claude.com/docs/en/sub-...
#ClaudeCode #AI #AIEngineering #AgenticAI #SoftwareDevelopment #DeveloperTools #MCP #MultiAgentSystems
code.claude.com/docs/en/sub-...
Create custom subagents - Claude Code Docs
Create and use specialized AI subagents in Claude Code for task-specific workflows and improved context management.
code.claude.com
November 1, 2026 at 8:57 PM
Claude Code Subagents: Building Specialized AI Developers
#ClaudeCode #AI #AIEngineering #AgenticAI #SoftwareDevelopment #DeveloperTools #MCP #MultiAgentSystems
code.claude.com/docs/en/sub-...
#ClaudeCode #AI #AIEngineering #AgenticAI #SoftwareDevelopment #DeveloperTools #MCP #MultiAgentSystems
code.claude.com/docs/en/sub-...
🤖 Coding-Agenten bieten viele Möglichkeiten. Doch wie sicher sind sie im Einsatz?
Je mehr Aufgaben sie eigenständig übernehmen, desto wichtiger werden klare Grenzen und passende Sicherheitsmaßnahmen.
🔒Wie bringst du Autonomie und Sicherheit in Einklang?
#AIEngineering #CodingAgents #CyberSecurity
Je mehr Aufgaben sie eigenständig übernehmen, desto wichtiger werden klare Grenzen und passende Sicherheitsmaßnahmen.
🔒Wie bringst du Autonomie und Sicherheit in Einklang?
#AIEngineering #CodingAgents #CyberSecurity
November 3, 2026 at 9:04 AM
🤖 Coding-Agenten bieten viele Möglichkeiten. Doch wie sicher sind sie im Einsatz?
Je mehr Aufgaben sie eigenständig übernehmen, desto wichtiger werden klare Grenzen und passende Sicherheitsmaßnahmen.
🔒Wie bringst du Autonomie und Sicherheit in Einklang?
#AIEngineering #CodingAgents #CyberSecurity
Je mehr Aufgaben sie eigenständig übernehmen, desto wichtiger werden klare Grenzen und passende Sicherheitsmaßnahmen.
🔒Wie bringst du Autonomie und Sicherheit in Einklang?
#AIEngineering #CodingAgents #CyberSecurity
Why can the same prompt produce different answers?
Because LLM output is probabilistic. Tokenization, attention, context, and decoding all influence behavior.
📘 Learn more in Systems Thinking for Agentic AI by Ediz Najim.
🔗 leanpub.com/staai
#LLM #AIEngineering
Because LLM output is probabilistic. Tokenization, attention, context, and decoding all influence behavior.
📘 Learn more in Systems Thinking for Agentic AI by Ediz Najim.
🔗 leanpub.com/staai
#LLM #AIEngineering
November 2, 2026 at 2:25 PM
Why can the same prompt produce different answers?
Because LLM output is probabilistic. Tokenization, attention, context, and decoding all influence behavior.
📘 Learn more in Systems Thinking for Agentic AI by Ediz Najim.
🔗 leanpub.com/staai
#LLM #AIEngineering
Because LLM output is probabilistic. Tokenization, attention, context, and decoding all influence behavior.
📘 Learn more in Systems Thinking for Agentic AI by Ediz Najim.
🔗 leanpub.com/staai
#LLM #AIEngineering
A useful AI code review prompt: identify hidden assumptions, edge cases, race conditions, and missing tests. Ask for evidence and trade-offs instead of accepting a confident-sounding answer. #ClaudeAI #CodeReview #AIEngineering
October 30, 2026 at 5:00 PM
A useful AI code review prompt: identify hidden assumptions, edge cases, race conditions, and missing tests. Ask for evidence and trade-offs instead of accepting a confident-sounding answer. #ClaudeAI #CodeReview #AIEngineering
Co-founded by Google X founder Sebastian Thrun and Adrian Oren, San Francisco startup Dulo raised a $130 million seed round from Eric Schmidt, John Doerr, and DST Global to automate hardware engineering design with AI.
#Dulo #AIEngineering #StartupFunding #ArtificialIntelligence #Technology
#Dulo #AIEngineering #StartupFunding #ArtificialIntelligence #Technology
October 31, 2026 at 5:22 AM
Co-founded by Google X founder Sebastian Thrun and Adrian Oren, San Francisco startup Dulo raised a $130 million seed round from Eric Schmidt, John Doerr, and DST Global to automate hardware engineering design with AI.
#Dulo #AIEngineering #StartupFunding #ArtificialIntelligence #Technology
#Dulo #AIEngineering #StartupFunding #ArtificialIntelligence #Technology
♻️ Repost to help data scientists and AI builders in your network.
🔖 Save this post for the next time you need training or testing data.
#DataScience #MachineLearning #Datasets #AIEngineering #BigData #Python #OpenData #ByteBuilders
🔖 Save this post for the next time you need training or testing data.
#DataScience #MachineLearning #Datasets #AIEngineering #BigData #Python #OpenData #ByteBuilders
November 3, 2026 at 1:30 AM
♻️ Repost to help data scientists and AI builders in your network.
🔖 Save this post for the next time you need training or testing data.
#DataScience #MachineLearning #Datasets #AIEngineering #BigData #Python #OpenData #ByteBuilders
🔖 Save this post for the next time you need training or testing data.
#DataScience #MachineLearning #Datasets #AIEngineering #BigData #Python #OpenData #ByteBuilders
Wir zeigen, wie Unternehmen KI nicht nur ausprobieren, sondern nachhaltig und skalierbar einsetzen!
Wir freuen uns auf die Session und den Austausch mit euch! 🤝
#KI #MicrosoftFoundry #MicrosoftCopilot #GitHubCopilot #AIEngineering #Softwareentwicklung #TDsynnex #whiteduck TD SYNNEX DACH
Wir freuen uns auf die Session und den Austausch mit euch! 🤝
#KI #MicrosoftFoundry #MicrosoftCopilot #GitHubCopilot #AIEngineering #Softwareentwicklung #TDsynnex #whiteduck TD SYNNEX DACH
November 3, 2026 at 7:30 AM
Wir zeigen, wie Unternehmen KI nicht nur ausprobieren, sondern nachhaltig und skalierbar einsetzen!
Wir freuen uns auf die Session und den Austausch mit euch! 🤝
#KI #MicrosoftFoundry #MicrosoftCopilot #GitHubCopilot #AIEngineering #Softwareentwicklung #TDsynnex #whiteduck TD SYNNEX DACH
Wir freuen uns auf die Session und den Austausch mit euch! 🤝
#KI #MicrosoftFoundry #MicrosoftCopilot #GitHubCopilot #AIEngineering #Softwareentwicklung #TDsynnex #whiteduck TD SYNNEX DACH
LLM responses are useful. But are they ready for your application? 🤖
Rainer Stropek explains how structured output and JSON schemas help turn AI-generated text into reliable, usable data.
🎥 Watch the MLcon expert clip!
#MLcon #LLM #AIEngineering
Rainer Stropek explains how structured output and JSON schemas help turn AI-generated text into reliable, usable data.
🎥 Watch the MLcon expert clip!
#MLcon #LLM #AIEngineering
November 3, 2026 at 10:13 AM
LLM responses are useful. But are they ready for your application? 🤖
Rainer Stropek explains how structured output and JSON schemas help turn AI-generated text into reliable, usable data.
🎥 Watch the MLcon expert clip!
#MLcon #LLM #AIEngineering
Rainer Stropek explains how structured output and JSON schemas help turn AI-generated text into reliable, usable data.
🎥 Watch the MLcon expert clip!
#MLcon #LLM #AIEngineering
🤖 Deine AI-Herausforderung, gemeinsame Lösungen!
Bring deine Fragen zum Lab Day mit und entwickle konkrete Ansätze für deinen Arbeitsalltag.
📍 16. November 2026 | Berlin
👉 Jetzt anmelden: https://ai-engineering-summit.de/berlin/tickets-berlin/
#AIEngineering #AIEngineeringSummit
Bring deine Fragen zum Lab Day mit und entwickle konkrete Ansätze für deinen Arbeitsalltag.
📍 16. November 2026 | Berlin
👉 Jetzt anmelden: https://ai-engineering-summit.de/berlin/tickets-berlin/
#AIEngineering #AIEngineeringSummit
November 2, 2026 at 9:03 AM
🤖 Deine AI-Herausforderung, gemeinsame Lösungen!
Bring deine Fragen zum Lab Day mit und entwickle konkrete Ansätze für deinen Arbeitsalltag.
📍 16. November 2026 | Berlin
👉 Jetzt anmelden: https://ai-engineering-summit.de/berlin/tickets-berlin/
#AIEngineering #AIEngineeringSummit
Bring deine Fragen zum Lab Day mit und entwickle konkrete Ansätze für deinen Arbeitsalltag.
📍 16. November 2026 | Berlin
👉 Jetzt anmelden: https://ai-engineering-summit.de/berlin/tickets-berlin/
#AIEngineering #AIEngineeringSummit
An AI model alone isn't a complete app.
App → Backend → Database/RAG → AI Model → Backend → App
The backend handles authentication, security, APIs and business logic.
That's where AI meets Software Engineering.
EP 09 | AI Engineering Basics
#AIEngineering #Backend #LLM
App → Backend → Database/RAG → AI Model → Backend → App
The backend handles authentication, security, APIs and business logic.
That's where AI meets Software Engineering.
EP 09 | AI Engineering Basics
#AIEngineering #Backend #LLM
November 2, 2026 at 4:11 PM
An AI model alone isn't a complete app.
App → Backend → Database/RAG → AI Model → Backend → App
The backend handles authentication, security, APIs and business logic.
That's where AI meets Software Engineering.
EP 09 | AI Engineering Basics
#AIEngineering #Backend #LLM
App → Backend → Database/RAG → AI Model → Backend → App
The backend handles authentication, security, APIs and business logic.
That's where AI meets Software Engineering.
EP 09 | AI Engineering Basics
#AIEngineering #Backend #LLM
An AI model alone isn't a complete app.
App → Backend → Database/RAG → AI Model → Backend → App
The backend handles authentication, security, APIs and business logic.
That's where AI meets Software Engineering.
EP 09 | AI Engineering Basics
#AIEngineering #Backend #LLM
App → Backend → Database/RAG → AI Model → Backend → App
The backend handles authentication, security, APIs and business logic.
That's where AI meets Software Engineering.
EP 09 | AI Engineering Basics
#AIEngineering #Backend #LLM
November 2, 2026 at 4:08 PM
An AI model alone isn't a complete app.
App → Backend → Database/RAG → AI Model → Backend → App
The backend handles authentication, security, APIs and business logic.
That's where AI meets Software Engineering.
EP 09 | AI Engineering Basics
#AIEngineering #Backend #LLM
App → Backend → Database/RAG → AI Model → Backend → App
The backend handles authentication, security, APIs and business logic.
That's where AI meets Software Engineering.
EP 09 | AI Engineering Basics
#AIEngineering #Backend #LLM
I believe the same principles apply to data science: start simple, reuse proven patterns, and keep clear boundaries as projects grow. That's what I explore in my article. I'd love your thoughts and for you to share it!
@towardsdatascience.com #AIEngineering
towardsdatascience.com/a-scaffold-a...
@towardsdatascience.com #AIEngineering
towardsdatascience.com/a-scaffold-a...
A Scaffold at the Gate: Building AI Applications That Can Evolve
A technical reflection on why data scientists need software engineering principles when AI agents write code.
towardsdatascience.com
November 2, 2026 at 12:30 PM
I believe the same principles apply to data science: start simple, reuse proven patterns, and keep clear boundaries as projects grow. That's what I explore in my article. I'd love your thoughts and for you to share it!
@towardsdatascience.com #AIEngineering
towardsdatascience.com/a-scaffold-a...
@towardsdatascience.com #AIEngineering
towardsdatascience.com/a-scaffold-a...
Faster models can make slower agents.
Our GLM vs Opus A/B test at revealed a lesson: frontier models can mask weak tool contracts and agent harness assumptions. Switching models exposes them.
armincat.com/articles/fas...
#AI #AgenticAI #LLM #AIEngineering
Our GLM vs Opus A/B test at revealed a lesson: frontier models can mask weak tool contracts and agent harness assumptions. Switching models exposes them.
armincat.com/articles/fas...
#AI #AgenticAI #LLM #AIEngineering
Fast Models, Slow Agents
What our GLM vs Opus experiment taught us about agent harnesses.
armincat.com
October 28, 2026 at 5:05 PM
Faster models can make slower agents.
Our GLM vs Opus A/B test at revealed a lesson: frontier models can mask weak tool contracts and agent harness assumptions. Switching models exposes them.
armincat.com/articles/fas...
#AI #AgenticAI #LLM #AIEngineering
Our GLM vs Opus A/B test at revealed a lesson: frontier models can mask weak tool contracts and agent harness assumptions. Switching models exposes them.
armincat.com/articles/fas...
#AI #AgenticAI #LLM #AIEngineering