This article provides a step by step deployment guide for using Amazon Bedrock models with ADK Agents. This project aims to configure an ADK agent to use an Amazon Bedrock model. LiteLLM is an open-source AI gateway and Python SDK that provides a unified OpenAI-compatible interface to over 100 LLMs (Anthropic, Gemini, Azure, Bedrock, Ollama). It simplifies API management by allowing users to call
What's new Based on early user feedback, Permi can now save your vulnerability scan results in three distinct formats to fit your workflow: --export results.txt – Human-readable plain text for quick reviews. --export results.json – Structured data designed for scripts and CI/CD automation. --export results.md – Clean Markdown, perfect for GitHub documentation or internal wikis. To try out the ne
Most "chat with your website" projects ship without any measurement. Mine did too. The live demo was up, answers looked plausible, and I moved on. Then I built a proper evaluation harness and found out exactly how wrong "looks plausible" is as a quality signal. This post covers the eval design, the bugs it caught, the prompt changes that fixed most of them, and the two metrics that still don't pas
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Denver likes a good origin story. The city still keeps a marker for Louis Ballast and the Humpty Dumpty Barrel, the local spot tied to the cheeseburger's Colorado claim. That detail felt oddly right for SnowFROC 2026. A cheeseburger is a small upgrade that changes the whole meal. This year's conference kept returning to the same ideas in AppSec, such as how meaningful security progress often comes
You write a Dockerfile, run docker build, and get an image. But what’s really happening under the hood? Docker isn’t just “building” your app — it’s assembling a stack of immutable filesystem layers. Docker doesn’t build applications — it builds filesystem snapshots layer by layer. Let’s break it down. A Docker image is not a single file. stack of read-only layers. Every instruction in your Docker
Metric Value Django Average Response Time 287ms Node.js Average Response Time 193ms Django Memory Usage (1000 users) 1.8GB We tested Django 4.2 and Node.js 18.16 under identical conditions to measure their performance for reporting dashboard workloads. The test environment consisted of AWS EC2 m5.2xlarge instances (8 vCPUs, 32GB RAM) running Ubuntu 22.04. Both frameworks connected to th