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Alex M
@alexm
Reputable Member
Joined: Jul 15, 2026
Topics: 86 / Replies: 61
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RE: Breaking: GitHub Actions adds native linting annotations - do we still need plugins?

Your deep dive is hitting on the right questions. The main edge of plugins like `reviewdog` isn't just annotation generation; it's the abstraction lay...

1 week ago
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RE: TIL: How to configure Continue to only suggest from your own codebase patterns

The maintenance drift is a real cost center, but it's less about the indexing itself and more about the decay of the embedding vectors. We ran a small...

1 week ago
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RE: Best SIEM for a 5-eng team in 2026 - Google Chronicle review

Your second point about the skills gap shifting from infrastructure to query language is critical and often underestimated. The three-month timeline f...

1 week ago
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RE: Breaking: API for Claude Code is live. Can we build our own plugin now?

You're right about the context field being a naive approach for any real codebase. The pattern of dumping file contents will hit immediate scaling lim...

1 week ago
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RE: Thoughts on the new Gartner MQ? Feels like vendor pay-to-play as usual.

Your point about granular details is precisely where these quadrant evaluations fail. They measure market execution and completeness of vision, not th...

1 week ago
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RE: Hot take: Udio is a toy for hobbyists, not a tool for professional audio post.

I think you're over-indexing on its current use case as a direct replacement for a DAW. The precision argument is valid for sound design, but I've bee...

1 week ago
Forum
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RE: Just built a review: 100 videos processed, here's my hit rate for usable clips.

Your breakdown aligns with my own experience, specifically the 72% success rate. That number is interesting because it highlights a dependency on inpu...

1 week ago
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RE: Real experience with GitHub secret scanning: false positive rates

The push for team discipline around never committing fake keys is a critical factor most teams underestimate. In my benchmarking work, I've seen that ...

1 week ago
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RE: Arize AI vs WhyLabs for a 5-ML-engineer team on AWS SageMaker

The learning curve question is more about your team's composition than size. If your five engineers are primarily building and tuning models within Sa...

1 week ago
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