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Helping dev teams adopt new technologies and practices through news, podcasts, QCon conferences, and InfoQ online certification.
@infoq.com#Cloudflare recently launched the open beta of cf - an open-source CLI built for developers & AI agents.
Written in TypeScript, it unifies access to Cloudflare services with structured output and command discovery.
📖 Learn more: buff.ly/ZMBPPwm
@infoq.comAI coding agents are moving faster than product teams can keep up. What needs to change?
Hannah Foxwell shares 3 anchors for navigating AI-driven velocity:
🎯 Build something worth building
🛡️ Speed requires safety
👥 People matter
➡️ Watch now: buff.ly/hlLsuSv
@infoq.com#AICodingAgents write code faster. But 79% of engineering leaders say overall release speed hasn't improved.
Why the gap?
➡️ 16.9 hours/week spent debugging AI-generated code
➡️ 35% of AI code reaches production before teams fully understand it
📖 Read more: buff.ly/RoDA9iQ
@infoq.comWhat is an ontology, and why is #Netflix using one for observability?
An ontology encodes meaning through simple Subject-Predicate-Object triples, helping connect data and make it more useful for enterprise AI.
🎥 Watch the full video: buff.ly/fIoqHqD
@infoq.comGrab migrated its high-volume Counter Service to #Aerospike, cutting p99 read latency by ~50%, disk usage from 3 TB to 1 TB, and cost per node by 45–50%.
How? Storage abstraction, shadow traffic, data parity checks, gradual migration, and a redesigned data model.
@infoq.comOlimpiu Pop facilitates the five-week cohort. It starts November 17 and meets online for two hours each Tuesday and Thursday.
@infoq.comParticipants compare team and workflow patterns, examine delegation to AI, reassess useful metrics, and bring the decisions together in a target operating model.
@infoq.comTeam structure, delivery flow, AI roles, and metrics constrain one another.
Review the InfoQ High-Performing Teams program: buff.ly/rTPM43E
@infoq.comHow do you guarantee session-level message ordering across thousands of #ApacheKafka channels?
Joshua Oluikpe explains a Go-based approach using consistent hashing, retries, and contiguous watermark commits.
🔍 Dive deep - buff.ly/0z4SKkI
@infoq.comIt’s been a busy week in the #Java ecosystem!
➤ The GA releases of JobRunr 9.0 and OpenXava 8.0; point releases for Quarkus, Micronaut, LangChain4j, Eclipse JNoSQL; ADK for Java and ADK for Kotlin; and introducing Lathe, a new Java language server.
🔗 #InfoQ News Roundup: buff.ly/UWHCgl4
@infoq.comSecurity is moving from human vigilance to automated, system-level defenses.
Explore:
→ CHERI hardware memory safety for legacy C/C++
→ SBOMs under the EU Cyber Resilience Act
→ Crypto-agility for the post-quantum era
→ Least-privilege access for AI agents
@infoq.comOpenTelemetry’s Kubernetes Attributes Processor is now stable in v1.0.0!
⚠️ K8s Semantic Conventions introduce breaking attribute name changes. Update dashboards and alerts when migrating.
Read the full breakdown 👉 buff.ly/IIkHNCN
@infoq.comKatharine Jarmul facilitates the confidential peer group. The program starts October 26 and meets online for two hours each Monday and Wednesday.
@infoq.comThe cohort covers sensitive-data flows, STRIDE, LINDDUN, Plot4AI, controls and sandboxes, observability, evaluations, governance, and auditing.
@infoq.comIn the InfoQ AI Security & Privacy Engineering Program, you can bring a current AI security or privacy problem to map, threat model, red team, and test.
Review the five-week program: buff.ly/rs7wTZw
@infoq.com5 practitioners building, securing & running AI systems join a free live #InfoQ panel on Oct. 14 at 11 AM ET.
They’ll discuss:
→ Human approval for AI agents
→ Reviewing AI-generated changes
→ AI data access
→ RAG beyond the demo
Can’t make it live? Register for the recording.
@infoq.comDecades of software management taught us one rule: developers will always have more work than time.
AI velocity just broke that rule.
Teams are now moving so fast they’re outpacing their pipelines - and running out of qualified work to build.
🔗 Watch now: buff.ly/hlLsuSv
@cpswan.netReposted by @infoq.comI chatted to Olimpiu Pop on the @infoq.com Podcast about this year's QCon London security track, and some plans for next year's.
We talk about hardware (#CHERI), #CRA and #SBOM, #postquantum_cryptography and of course #LLM and #AI
@infoq.comIn this article, Aditya Mulik explains how treating the #LLM stack as platform infrastructure reduced hallucinations from 15% to 1.5% in a production inventory recommendation system.
→ Prompt registry & versioning
→ Schema enforcement & retry loops
→ Token cost attribution
@infoq.comAkka tested a spec-driven AI porting workflow across 65 open-source projects:
➡️ 9.41B tokens
➡️ 99.3 hours
➡️ 57 ports with fewer lines
See what worked, where Sonnet vs. Opus differed, and why infrastructure projects often lost performance ⇨ buff.ly/4CnRx6l
