itsderek23
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I’m used to having good observability for systems and workflows, but now that I generally start development with Claude Code vs my IDE, I lost a layer of visibility into how my code is produced. Subtle…
- DevOps AI Assistant Open Leaderboard (github.com)
- Beyond demoware: how do you evaluate an AI agent? (opstower.ai)
- GitHub Codespaces for Machine Learning (dlite.cc)
- Machine learning deserves its own flavor of Continuous Delivery (towardsdatascience.com)
- You may not need Airflow – yet (towardsdatascience.com)
- An End-to-End Lead Scoring ML Model with MLFlow+Sagemaker+Booklet.ai+Intercom (towardsdatascience.com)
- Google's ad tentacles want your checking account (smilesql.com)
- Create a Hybrid Electron App with BrowserView (smilesql.com)
- Show HN: Stripe Cohort Heatmaps via Python+Pandas (github.com)
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My background is as a software engineer at SMBs and startups, which typically lack a data scientist. Because I love numbers, charts, etc. I do a lot of amateur data science. I enjoy the analysis, but I despise the data…
- Anonymous startup employee exit $ numbers (twitter.com)
- 5 Rules for non-sleazeball developer marketing (medium.com)
- Five Lessons from 3,650 Days of Web Performance Work (hackernoon.com)