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.
As a developer, you deal with text casing constantly - button labels, nav items, page titles, error messages, documentation headings. And at some point, someone on your team will ask: Here's the definitive answer. // Title Case — most words capitalized "The Best Free Tools for Writers and Developers" // Sentence case — only first word + proper nouns "The best free tools for writers and developer
You just ran a dependency scan and the report shows 133 vulnerabilities. 34 are Critical. 68 are High. The dashboard is red, the backlog is exploding, and every item looks urgent. The engineering team asks the obvious question: where do we start? This is where vulnerability remediation prioritization matters. Without a clear framework, teams either panic and chase the loudest CVE, or they ignore t
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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