Alibaba’s OpenCodeReview uses an interesting pattern: deterministic workflows for predictable tasks, LLMs where reasoning adds value.
Don’t make the entire system probabilistic just because one part benefits from AI.
@ipolyzos.com
@ipolyzos.comAlibaba’s OpenCodeReview uses an interesting pattern: deterministic workflows for predictable tasks, LLMs where reasoning adds value.
Don’t make the entire system probabilistic just because one part benefits from AI.
@amar67.bsky.socialAI is more than a field I’m learning.
I’m exploring what happens when AI meets:
→ Finance
→ Biology
→ Physics
Building my AI engineering foundation now.
The goal isn’t just to build AI.
It’s to use AI to discover.
@amar67.bsky.socialI’m building my way into AI Engineering. 🤖
FastAPI, NumPy & Pandas are getting stronger.
Next target: ML + Deep Learning.
This is just the beginning. 🚀
#AI #MachineLearning #Python #AIEngineering
@loopandretry.bsky.socialSplit-brain: when multi-agent memory consensus quietly fails
In distributed systems, split-brain is what happens when a partition convinces two halves of a cluster that each is…
https://loopandretry.github.io/posts/multi-agent-memory-split-brain/?ref=bluesky
@yurekilab-en.bsky.socialGrepped my repo for bare "except: pass". Found 14. All from my coding agent. Tests passed because failures never surfaced. New rule: every catch block re-raises or logs with context. No silent swallows. Three tests went red within a day. Good. #claudecode #ai #aiengineering #buildinpublic
@aiengineeringsu.bsky.socialWas passiert, wenn Vibe Coding mehr Fragen als Antworten liefert? 👀
Wo liegen die Grenzen – und wie verändert sich die Rolle von Software-Engineers?
👉 Erfahre mehr im Blogartikel: https://ai-engineering-summit.de/blog/
@groxio.bsky.socialThe most dangerous AI mistake is not ugly code.
It is clean code with the wrong public promise.
Review the exported API before the helpers.
grox.io/blog/49-reviewing-the-ai-s-work-boundaries-crc-and-the-requirement-it-missed
@whiteduck-gmbh.bsky.socialDanke an die Community für den großartigen Austausch! 🤝
#MicrosoftAI #Foundry #Copilot #GitHub #AIEngineering #Lingen
@geraldnguyensg.bsky.socialBenchmarks can narrow a model choice, but they do not tell you whether your agent survives your workflow. As providers turn tracing and post-deployment evaluation into first-class tools, the team that owns the eval suite is becoming the team that... #Ai #AiEngineering #AppliedAi
@tmtabor.ioOur agent pipeline kept producing malformed JSON. Fine-tuning fixed it. Here's what that process actually looked like. #AIEngineering
@academaxjournals.bsky.social📢 Big news for the geoscience community!
EGGE, a new journal on environmental and geotechnical engineering, is now live.
❄️ Covering everything from permafrost thaw to machine learning in geoengineering.
Know more: www.sciencedirect.com/journal/envi...
#AcadeMax #ZJUP #Geoscience #AIEngineering
@upsun.comOptimizing AI coding agents is useless if your team does not share context 🤖. Giving humans and agents the same repo, docs, and vocabulary is where true speed comes from 💡. 👉 upsun.com/blog/context... #AIEngineering #DevOps #SoftwareArchitecture #CodingAgents
@spec-kitty-ai.bsky.socialSpec Kitty fits into the development process your team already uses.
Instead of replacing your favorite AI coding tools, it provides a governed workflow that keeps specifications, decisions, reviews, and project context connected from start to finish.
#DevOps #AIEngineering #TechLeadership
@temprhq.bsky.socialWould you accept fewer errors if p95 latency doubled? Compare p50 and p95 by model after changing a fallback chain. A lower error rate can still hide a painful user experience. #LLMOps #AIEngineering https://temprhq.io/gateway
AWS is streamlining AI agent deployment with tools like SageMaker AI and Bedrock AgentCore. From model serving to autoscaling, structured workflows reduce operational overhead. Coding agents are now essential for managing multi-model agentic applications. #AIEngineering #AWS #AgentDeployment
@yurekilab-en.bsky.socialMy coding agent kept editing generated files. Hand-patched a lockfile. Tweaked an API client built from a schema. Both looked fine in review, both vanished on the next build. Added a do-not-edit list, each pointing at its source. #claudecode #ai #aiengineering #buildinpublic
@temprhq.bsky.socialWhich AI model fits the use case and budget? TemprHQ brings model listings and pricing together so development teams can compare options before implementation. #AIEngineering #LLMOps https://temprhq.io/changelog
@yurekilab-en.bsky.socialMy coding agent told me a helper was unused. I deleted it. Two pages broke. Now every claim about the codebase comes with file:line, or it doesn't count. It recalls code it read 20 minutes ago worse than it sounds like it does. #claudecode #ai #aiengineering #buildinpublic
@temprhq.bsky.socialHow many client integrations should model switching require? Keep one OpenAI-compatible API contract, then change the provider-backed model in Tempr instead of adapting your app to each provider. #AIEngineering #OpenAICompatible https://temprhq.io/providers
@darryl-ruggles.cloud#Jev #TypeSafeAI #StructuredOutputs #AIEngineering #MLOps
I guess it's possible you have not heard about Jev yet but it has taken over the internet in the last week.