toniantunovi

4 ms·

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by toniantunovi 6mo ago
One thing that often gets overlooked in the tmux vs. alternatives debate is that tmux's staying power is largely about ubiquity on remote servers. Zellij is great on your local machine where you control the environment, but if you&#x27
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by toniantunovi 6mo ago
The supply chain attack surface in WordPress plugins has always been particularly dangerous because the ecosystem encourages users to install many small single-purpose plugins from individual developers, most of whom aren't security-fo
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by toniantunovi 6mo ago
This is a useful forcing function for distinguishing two architectural categories of Claude Code adjacent tooling. Tools that route your API traffic through a third-party harness are definitionally dependent on Anthropic's policy towar
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by toniantunovi 6mo ago
The coding-specific version of this is worth naming precisely. The drift does not happen because you stop writing code. It happens because you stop reading the output carefully. With AI-generated code, there is a particular failure mode: th
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by toniantunovi 6mo ago
Very nice contribution to OSS
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by toniantunovi 6mo ago
The CLAUDE.md approach for enforcing standards is solid. One thing we ran into with parallel agent workflows: the quality gates are only as good as what you catch before merge, and across multiple worktrees it's easy for one branch to
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by toniantunovi 7mo ago
The cURL situation is a canary. The real fix isn't gate-keeping humans out, it's making quality enforcement automatic before a PR is ever opened. I built LucidShark specifically for this: it's a local CLI quality gate that ru
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by toniantunovi 7mo ago
You've got to know when to hold 'em, know when to fold 'em.
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by toniantunovi 7mo ago
The saddle-node bifurcation framing is genuinely useful for making the case to engineering leadership. "Your QA capacity is a control variable, and if it doesn't scale with generation volume, you're past the tipping point&quo
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by toniantunovi 7mo ago
The dopamine loop framing is spot-on. The "it compiles and the tests pass" feedback cycle is genuinely intoxicating, and it's very different from the slower, more uncertain feeling of writing careful code yourself. What'
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by toniantunovi 7mo ago
Congrats on the launch! The production monitoring angle is genuinely underserved. Most teams only realize AI agent failures exist once users are complaining. The most common failure mode we see: AI agents write code that passes all existing
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by toniantunovi 7mo ago
This is a fascinating approach, solving the problem at the language level. The capability-based permission model is elegant. A complementary angle we've been exploring with LucidShark (lucidshark.com) is attacking the same problem from
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by toniantunovi 7mo ago
When a tool flags 8 issues on clean code and 8 issues on broken code, it's not a reviewer, it's a random number generator with a UI. The approach we've found more tractable is to separate concerns: let deterministic tools (li