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
On March 31, 2025, Stripe shipped the Basil API version. Among other changes, it removed three fields from the Subscription object that a lot of production code was reading: current_period_start — moved to subscription items current_period_end — moved to subscription items billing_thresholds — removed entirely (later reintroduced — more on this) If you upgraded your account's default API versi
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
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
It’s just HTML… how hard can it be? 😎 Expectation const data = document.querySelector('.title').innerText; 💀 Reality null Data loads via API React renders everything later Class names look like passwords 403 + CAPTCHA waiting for you 🧠 Truth You don’t scrape websites. *If you’ve fought with querySelector()and lost… welcome to the club. connect with KF
If you've ever built ETL pipelines pulling data from MongoDB into Delta Lake using Spark, you've probably hit this wall. The pipeline works fine — until it doesn't. A single document with an unexpected shape is enough to break the entire write, leave the table in an inconsistent state, and send your on-call engineer digging through Spark logs at 11pm. I built and maintained more than 10 of these j