I'm Going All-In on AI for Developers.
dev.to·48m·
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The Debugging Book • Andreas Zeller & Clare Sudbery
youtube.com·23h
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My go-to prompt for legacy code exploration
leftofthe.dev·13h·
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Model-Based GUI Automation (Springer SoSyM)
link.springer.com·1d·
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Conscious Debugging: 10 Effective Strategies That Actually Work 🐛
thetshaped.dev·1d·
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I wrote a "from first principles" guide to building an HTTP/1.1 client in Rust (and C/C++/Python) to compare performance and safety
reddit.com·6h·
Discuss: r/rust
🦀Rust
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Sloppy : Chrome Extension for AI Slop Detection with Agentic Postgres
github.com·16h·
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How context engineering can save your company from AI vibe code overload: lessons from Qodo and Monday.com
venturebeat.com·7h·
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Build better software to build software better
slack.engineering·11h
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2 Years of ML vs. 1 Month of Prompting
levs.fyi·1d·
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Slicing your work with BDD or another aspect of speed increase with small Pull Requests.
andremoniy.medium.com·1d·
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Lessons from Building an Online Toolkit to Aid Open-Source Investigations
niemanreports.org·2h
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From Notebook to Production: A Pragmatic Playbook for Developers Who Ship
dev.to·10h·
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Found out DORA metrics don't tell you WHY you're slow, just that you are.
blog.pragmaticdx.com·14h·
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Wrapping My Head Around AI Wrappers
wreflection.com·37m·
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On Pretraining for Project-Level Code Completion
paperium.net·2d·
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The Right Environment
visitmy.website·12h
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Planning for Flow Success: Building Automation That Scales
admin.salesforce.com·5h
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Carmack on inlined code and functional programming
cbarrete.com·8h·
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🦀Rust
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Lessons from the DeepChip Wars: What a Decade-old Debate Teaches Us About Tech Evolution
semiwiki.com·4h
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