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Medium1 Hot0 comments11 min read
From Shipping Features to Owning the P&L: My Technical PRD for an AI-Native Cloud & LLM FinOps Control Plane
From Shipping Features to Owning the P&L: My Technical PRD for an AI-Native Cloud & LLM FinOps Control Plane How I built a Java, ClickHouse, Kubernetes, and Prometheus gateway to stop “whale” …
Source: https://medium.com/@prachisoni772/from-shipping-features-to-owning-the-p-l-my-technical-prd-for-an-ai-native-cloud-llm-finops-e74e2635ed8f. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
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Inside Java0 Hot9 min
The G1 Garbage Collector
In this article, we will provide a technical overview and some key usage instructions for the G1 Garbage Collector, the default collector on the JVM.
CNCF1 Hot9 min
One flag, many guardrails: Making a platform safe enough to delegate
This post draws on a talk co-presented with Julien Semaan of Kubex at KubeCon + CloudNativeCon Europe 2026; GitOps Gone Wild: Hardening Delivery Pipelines for…
Flavio Copes1 Hot12 min
API pricing vs subscription: what my month of Codex would cost on the API
I priced 30 days of my real Codex usage at API rates. A $100 plan covered $745 of API-equivalent work. Here's the math, the script to run on your own logs, and when the API still wins.
Latest Hacking News1 Hot7 min
Red Flags to Watch for When Choosing Between AI Pentesting Vendors
Choosing between AI pentesting vendors requires looking past marketing labels like 'autonomous' or 'agentic' because the underlying systems vary widely. A Stanford-led study ran different AI agent frameworks against a live 8,000-host network and found that between 55% and 82% of reported findings were confirmed as real vulnerabilities. Swapping only the underlying model moved one framework's valid finding rate from 57% to 80%, yet that same framework still scored lowest overall since its findings stayed shallow. On a CTF-style benchmark two frameworks scored near-identically (48.6% vs 45.9%), but on the live network one scored nearly three times higher on severity and complexity. Buyers should demand proof of exploitation, real-network results, clear safety controls, data handling answers and clarity on what 'continuous' actually means.
Foojay.io2 Hot17 min
Flutter Better in Java
Codename One now builds Flutter apps from their Dart source, and the result starts faster and uses less memory than Flutter's own release build on Android,...
Daily Dose of Data Science | Avi Chawla | Substack152 Hot7 min
RAG vs. Vectorless RAG, clearly explained!
...explained visually (with tradeoffs in production).
Foojay.io1 Hot8 min
Checking Module Boundaries in a Java Monolith
Use an ArchUnit test to check a Java module boundary, examine a violation and move the dependency behind the module's API.
Medium40 Hot9 min
DeepSeek Super-Agent Architecture Explained
How DeepSeek Harness's Super-agent works: a Router, isolated Workers, event triggers and a Watchdog let one AI agent run many tasks. Diagrams inside.
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