Key Takeaways One-shotting prompts without a spec is the most common failure mode: experienced devs were 19% slower with AI tools when the task wasn't clearly scoped (METR 2025) AI-coauthored code is 1.75× more likely to introduce correctness errors and 2.74× more likely to ship XSS vulnerabilities than human-only code (CodeRabbit 2025) Without architectural rules in AGENTS.md / Cursor rules / CLA
Literal translation tools give you one answer. That answer has no register, no cultural context, and no way to know whether you're being warm or clinical. I was writing a message to my girlfriend in Farsi — something small, about missing her during the day — and every tool I tried handed me back a single string with no indication of whether it would land tender or transactional. Native speakers do
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
If this is useful, a ❤️ helps others find it. All tests run on an 8-year-old MacBook Air. HiyokoLogcat renders 50,000+ log lines without freezing, and has a Gemini AI button on every error line. These two features interact in non-obvious ways. Here's what I had to think through. Virtual scroll works by only rendering visible rows. Rows outside the viewport are unmounted from the DOM. AI buttons li
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
Kimi K2.6 has been getting a lot of love lately, especially from devs who want a strong coding model without paying premium model prices every time they run a big prompt. So I wanted to see how good this model actually is. But this time, I wanted to compare it with something much heavier, the developers darling Claude Opus 4.7. On paper, Claude Opus 4.7 and Kimi K2.6 are very different models. On
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.