explore | Grilled Cheese

SAVE THE DATE - 14 & 15 June 2027

The sixth #CNSMunich edition takes place in June next year, and we're thrilled to host you, connect and learn together 👏🏻🥳

🔗 Save your spot and check out our website: cnsmunich.de

#AI #opensource #AIengineering #CloudNative #platfromengineering #kubernetes

Streaming a conversational AI trainer, and teaching it to say I do not know mid-stream. Abstaining after you have already emitted tokens is its own problem. #LLM #AIEngineering

Context Engineering in Production #20

Don't measure AI coding only by output quality.

Track:

• context size
• prompts/task
• retrieval accuracy
• cost/task
• time/task

If context engineering works, those numbers should move.

#ContextEngineering #AIEngineering #SigMap

Which requests deserve attention first? Group Gateway data by model or virtual key, then compare p95 latency with error rate. The high-high group is both slow and likely to fail. #LLMOps #AIEngineering https://temprhq.io/gateway

Choosing an AI product development partner is about more than technical skills.

Read the complete guide:

medium.com/@shifa_marti...

#AIProductDevelopment #ArtificialIntelligence #AIEngineering #EnterpriseAI #AIDevelopment

From production experience and data readiness to security, governance, measurable ROI, and post-launch support.

Read the complete guide:

www.linkedin.com/pulse/how-ch...

#AIProductDevelopment #AIImplementation #ArtificialIntelligence #EnterpriseAI #AIEngineering

The arXiv paper applies mutation analysis to an invariant suite for an agent state-projection layer, showing that standard single-observation validation lets a faulty deduplication check pass…

#SoftwareTesting #MutationAnalysis #AgentInfrastructure #AIEngineering
https://arxiv.org/abs/2610.02928

Researchers are starting to let AI agents read their own failure traces and rewrite parts of the stack around the model.

#AIAgents #AgenticAI #LLM #AIEngineering #MachineLearning

🤖 Powerful AI doesn't always need huge models.

Quantization can reduce model precision to shrink size, lower memory use, speed up inference and cut deployment costs.

The challenge: balance efficiency with accuracy.

#AI #Quantization #AIEngineering

𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐓𝐞𝐬𝐭-𝐀𝐟𝐭𝐞𝐫 + 𝐌𝐮𝐭𝐚𝐭𝐢𝐨𝐧 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐁𝐞𝐚𝐭𝐬 𝐓𝐞𝐬𝐭-𝐅𝐢𝐫𝐬𝐭

Having spent 2+ decades leading organisations and teams through major tech shifts and pioneering new ways of working, I’ve found that ...

#TDD #ATDD #TestFirst
#AIEngineering #SoftwareEngineering #AIAugmentedDevelopment #GenAI

AI coding tools become more valuable when developers provide context: architecture rules, constraints, and expected trade-offs. Better input creates better engineering discussions. #ClaudeAI #AIEngineering #SoftwareDevelopment

Which model is cheapest for the whole workflow? Usually, that’s the wrong question. Compare suitable options separately for drafting, review, and production calls, using price, context, and capabilities. #AIEngineering #LLM https://temprhq.io/models

Not every agent decision needs a full generative LLM.

Strands Decider uses a small specialized model for choices, scoring and confidence.

Use intelligence proportional to the decision.

thenewstack.io/aws-strands-...

#AgenticAI #AIEngineering

OpenAI GPT-6 Guide: Models, Prompting, Agents and Production

techlensmedia.com/news/openai-...

#TechLensMedia #GPT6 #AIAgents #PromptEngineering #AIEngineering