Article URL: https://dreadnode.io/research/every-model-cheats-prompt-level-mitigation-of-cheating-on-offensive-cyber-tasks/ Comments URL: https://news.ycombinator.com/item?id=49374635 Points: 3 # Comments: 0
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AWS CloudShell offers multiple options for editing files without leaving the browser-based terminal environment. Users comfortable with terminal editors can use Vim for full navigation features or Nano for a simpler interface with on-screen shortcut prompts. A third option, the built-in 'edit' command, opens files in a graphical editor similar to VS Code, supporting familiar shortcuts like CTRL+S to save. Each method suits a different comfort level, from seasoned Vim users to those who prefer point-and-click editing. The choice ultimately depends on which tool helps the user resolve their task most quickly.
AI coding assistants like Cursor often ignore rules written in SKILL.md files because model attention is limited and recent tool outputs outweigh instructions seen earlier in a session. The model tends to prioritize completing the user's latest request over adhering to a rule file loaded at the start of a conversation. A more reliable approach pairs the skill file with a hard command layer — such as running tsc --noEmit or a test suite — that must pass before any output is declared production-ready. Unlike text instructions, a failing compiler or test command produces a concrete, undeniable signal that forces the agent to make corrections. The author recommends reserving hooks for deterministic tools like formatters, resetting chat threads between features, and always requesting that typecheck and test output be pasted at the end of each session.
A developer building a Python command-line tool found that users had no way to discover valid argument values mid-command, such as the four accepted strings for an order_by parameter. Rather than writing separate shell completion scripts for bash, zsh, fish, and tcsh — each in a different syntax — the author turned to shtab, an optional dependency of jsonargparse. By adding shtab to the project's dependencies and calling set_parsing_settings(add_print_completion_argument=True) in one line, the CLI automatically gains a --print_completion flag. The completion scripts are generated by inspecting the existing parser, which already knows all valid choices from the client's type hints, meaning no manual maintenance is required. The approach keeps tab completion in sync with the interface automatically, since both derive from the same source code.
Many browser games give the impression of being offline-capable due to fast load times and simple gameplay, but they frequently depend on internet access for assets, leaderboards, authentication, and analytics. Developers distinguish between three scenarios: truly offline-capable games with deliberate caching architecture, partly cached games that may break unpredictably, and online games that merely mimic an offline aesthetic. Standard browser caching is not a reliable substitute for offline support, as the browser can revalidate, remove, or update files independently, meaning a single missing resource can prevent a game from loading. Service workers offer a more intentional solution by intercepting network requests and serving cached content, though they introduce their own versioning challenges if not carefully managed. Reliable offline functionality must be explicitly designed and tested as a complete user experience rather than assumed from partial caching.
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