What if #SystemsThinking could change how you deliver software?
Elisabeth Hendrickson & Joel Tosi explore systems thinking, the cultural levers leaders can pull, and how to build sustainable teams through AI-driven change.
🎧 #InfoQ podcast: bit.ly/4xMfLgZ
Shift-left & DevOps speed up delivery - but can increase cognitive load and duplicate effort.
Explore how rightsized developer platforms can reduce friction and help teams deliver faster.
🔗 Read the #InfoQ article: bit.ly/4xjNX41#PlatformEngineering#DevEx
#Google open-sourced AX - an orchestrator that treats AI agents as stateful actors instead of stateless microservices.
It suspends idle tasks in under a second, eliminating compute waste across large agent fleets.
#InfoQ 👉 bit.ly/4rtnsa6#AI#AIAgents#OpenSource
Modal rebuilt its sandbox infrastructure with horizontally scalable schedulers and stateful workers—ditching #Kubernetes’ centralized coordination model.
The result: 1M concurrent sandboxes in under 60 seconds, with sub-500ms startup times.
👉 bit.ly/4hKCvJg#InfoQ
AI access ≠ AI literacy
Giving your team AI tools is easy, but making it effective takes more than just a subscription.
If AI is going to join your workflow, empower your team first!
Watch now: bit.ly/47ouunj#AILiteracy#TechLeadership#Engineering#AIWorkflows
Stop looking for “the” Root Cause of an outage. 🛑
In complex systems, failures rarely have a single cause. Searching for one oversimplifies what happened - and fuels overpromised solutions.
If you use the term, it should be Root Causes.
🔗 bit.ly/4zn6rSD#InfoQ
One #CloudflareWorker for every edge feature? That’s a bottleneck at multi-tenant SaaS scale.
Chintan Tank explains a modular Gateway + Feature-Worker architecture using Service Bindings, with Image Optimization as the example.
👉 bit.ly/4ylRVKc#CloudComputing#InfoQ
Personalization isn’t just about relevance. It’s also about governance.
This architecture separates relevance from governance, combining:
• Stateful memory
• Policy-driven AI orchestration
• Explainable scoring
🔗 Details: bit.ly/46Yprdr#AI#InfoQ
Hype isn’t just noise. It’s the mechanism that drives funding, talent, and attention to new ideas before they’re fully mature.
The real skill isn’t avoiding hype altogether - it’s knowing when the hype is hiding a real architectural trade-off.
🔗 bit.ly/3S5eRxa
Uber redesigned M3DB shard placement with fixed-size subclusters to reduce the impact of node failures, maintenance, and scaling.
The approach limits shard dependencies, isolates replicas, and minimizes data movement.
🔗 bit.ly/4AtUWt5#DistributedSystems#Sharding
Software complexity is scaling beyond human comprehension.
This #InfoQ presentation explores how complexity is evolving - and why creativity is becoming critical for senior ICs working with AI-generated code.
🎬 Watch now: bit.ly/4yhnrJi#CodeQuality#Productivity
Ask 10 engineers which framework to use, and you’ll get 342 Slack replies and zero consensus.
#Spotify’s fix:
• Get decisions out of Slack
• Let senior engineers define & publish “Golden Tech”
Less bikeshedding. More alignment.
🎥 bit.ly/4xihOcO#Leadership#DevEx
The next InfoQ AI-Assisted Engineering cohort starts Oct 19.
Five weeks building a harness around coding agents on a real brownfield codebase: buff.ly/j7rf2Xm
The work covers permissions, sensors, independent review, CI verification, and turning recurring findings into reusable rules.
Led by Zichuan Xiong and Premanand Chandrasekaran.
#AIAssistedEngineering