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We've been there. JSON Schema gets hard to write as soon as your payload is non-trivial. Conditional logic, cross-field rules, business invariants, and at some point we stop writing contracts at all. We go code-first, generate the schema from annotations, and end up with 200 lines very few understand, and error messages referencing paths like #/properties/items/allOf/0/then/Then that map to nothin
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