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Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.

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Curated links from external sources — not 360Softy original articles.

ExternalSoftware Engineering
DEV Community

Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics

Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics How we replaced "looks good to me" with automated evaluation catching 92% of hallucinations before deployment Three months ago, our team shipped a RAG-based customer support assistant. It worked great in testing — we'd ask it questions, read the answers, and say "yeah, that looks right." Then it hit production. A customer asked about their billing cycle. The assistant confidently cited a policy that didn't exist. Another

llmaievaluation
DEV CommunityRead original
ExternalSoftware Engineering
DEV Community

.DAT to .DXF Converter

NACA 2412 Airfoil Databases are in .dat file. The problem? There are no clean .dat -> .dxf converters. The solution? I built one. This post is directly linked to my ongoing project at the time of writing: Comparative Aerodynamic Analysis Of Wing Planforms. I needed to model a NACA 2412 wing which had .dat coordinate files available. But OnShape needed .dxf in order to import the coordinates. I couldn't find a clean converter online, so I decided to build one for the sake of th

pythongithubcoding
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ExternalSoftware Engineering
DEV Community

200+ Tested AI Prompts I Use to Run My SaaS (And How I Tested Them)

I've spent the last year building and running a SaaS almost entirely on AI-generated output — launch copy, code reviews, cold outreach, changelogs, support replies. Along the way I've written, tested, and thrown away something like 400+ prompts. About half of them are now in a curated pack I sell. The other half were just bad. This post isn't a sales pitch. It's the actual lessons from testing hundreds of prompts: why most of them fail, what a good one looks like, and how to test them systematic

aipromptengineeringsaas
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ExternalTechnology Trends
HN RSS Best

Jellyfin founder Andrew leaves team

Article URL: https://forum.jellyfin.org/t-project-leadership-changes Comments URL: https://news.ycombinator.com/item?id=48986091 Points: 359 # Comments: 321

HN RSS BestRead original
ExternalDatabase
AWS Database Blog

Building agentic AI patterns with Amazon Bedrock and SQL Server 2025 on Amazon RDS

In this post, we demonstrate how SQL Server 2025 on Amazon RDS can call Amazon Bedrock foundation models directly from T-SQL using sp_invoke_external_rest_endpoint. This approach removes middleware, reduces latency, and brings AI capabilities directly into database workflows.

Amazon BedrockExpert (400)RDS for SQL Server
AWS Database BlogRead original

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