AI can draft the code. It still cannot infer your hidden contracts, architecture boundaries, or reviewer attention budget.
I wrote about context engineering, small task framing, MCP-style tool surfaces, and why the real cost comes back during verification.
https://t.co/wQ5mZo4dK6
#aicoding #ai #jcon
#PlatformEngineering succeeds when reliability and ergonomics reinforce each other - not compete.
Explore 3 foundational pillars:
1️⃣ Automated reliability
2️⃣ Developer ergonomics
3️⃣ Operator ergonomics
Together, they create a Virtuous Cycle!
🔗 https://t.co/7nppvxPOiL
Quarkus has Signals now, but the interesting question is what they replace.
I wrote a NebulaTrack walkthrough that puts Signals next to CDI events, Reactive Messaging, and the Vert.x EventBus, then builds the three patterns that matter: `publish()`, `send()`, and typed `request()`.
https://t.co/dixjycPTcL
#java #quarkus
#SoftwareArchitecture is never static. The question isn't whether change will happen, but whether that change is intentional / accidental.
Architectural Change Cases help teams make deliberate choices by clarifying how systems should evolve.
📰 https://t.co/muXn02kbPm
#InfoQ
Want faster warm-up without rewriting your app? #Java25 embeds profiles into AOT caches and upgrades Shenandoah GC. @__amahdy explains what this means for real workloads — not just release notes.
See what you gain before upgrading: https://t.co/DYNHq6T2zv
@Oracle#OpenJDK#Java
Zero-trust only gets useful once you can tell whether a failure came from TLS, service identity, or business policy. This walkthrough builds three Quarkus services with app-managed mTLS, OIDC service tokens, and edge-only branch checks, then proves each failure path.
https://t.co/Wx74VwuTzr
#Quarkus #Security #Microservices
Ever tried debugging production issues across deeply nested reactive chains? That complexity gets brutal in high-I/O #AI systems. Damiana Nascimento explains when #VirtualThreads outperform reactive designs & where they don’t: https://t.co/EuNaGPboZe
#Java#Concurrency@QuarkusIO
Skill issue: Lessons from skilling up coding agents
Getting agents to actually use Langfuse was a "skill issue" — literally. Marc Klingen from Clickhouse on teaching coding agents to use new tools, and why it's harder than you think.
https://t.co/sqlY11NkmQ
Python isn’t the only way to build #AIAgents anymore. With #SpringAI, #Java apps get memory, RAG, tools & model switching—all behind one #API. Same code runs from local Ollama to AWS Bedrock.
Bezsonov Yuriy & sascha242 show how: https://t.co/xBz7s4jmDU
#AI#LLM#DevOps
25 years after the #AgileManifesto, should the original authors have a reunion?
@martinfowler's answer is surprisingly humble:
"We wrote the manifesto. Now it's for others to continue."
Plus a perfect punchline from @KentBeck 😄
Watch: https://t.co/8seuYnkhWP
Shared MCP servers get risky quickly: every action starts looking like the same service account.
I wrote about why IBM Bob deployments need delegated access, short-lived tokens, and audit-ready user or session attribution before shared MCP tools touch deployments, tickets, or customer data. https://t.co/32n5svoO2D #IBMBob #MCP #Security
Cheap questions should not burn the same local model as real debugging work.
I wrote a Quarkus + LangChain4j tutorial that classifies prompts, routes them between two Ollama models, and keeps the decision observable with CDI events and tests.
https://t.co/6m4M0uYuO6
#Java #Quarkus #LangChain4j #Ollama
#OpenTelemetry launched Blueprints - a new initiative designed to reduce the growing complexity of deploying & operating observability systems at scale.
It provides:
🔹 Prescriptive guidance
🔹 Architectural patterns
🔹 Reference implementations
➤ https://t.co/2apFxiHtvV
This #InfoQ podcast breaks down the critical intersection of technical & social architecture.
Key takeaways:
• Business > Tech: How the company operates matters
• Focus on Outcomes: Good requirements look at problems to solve
• Embrace Constraints
🎧 https://t.co/A73GoetskA
A normal developer sees a file with 1 billion rows.
@royvanrijn sees a challenge 😅
This talk is a wild ride through #Java optimization, profiling, memory mapping, parallelism, and shaving milliseconds off a seemingly impossible problem.
Watch: https://t.co/jCWJxpHeLX