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ExternalSoftware Engineering
DEV Community

Paving the wrong Path: What a Broken Government System Taught Me About Feedback Loops

Last year I was made redundant from an NHS role. Around the same time, the team I worked in got a "new system." Everything that used to live on paper — or, honestly, in something that behaved like a shared Excel sheet — was going digital. I was still employed during the first few weeks of rollout, so I watched it happen. And the thing I remember most clearly is that it didn't make anything better. The forms moved from paper to screen, and that was more or less the whole story. The same duplicati

opensourcenhsarchitecture
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ExternalSoftware Engineering
DEV Community

Replacing spaCy's Sentencizer with yasbd: From 55.4% to 98.9% Accuracy

Sentence segmentation—splitting text into individual sentences—is a foundational step in most NLP pipelines. It seems simple, but as anyone who has worked with real-world text knows, the details matter. Abbreviations like Dr., URLs, ellipsis, and complex punctuation can trip up even well-intentioned rule-based systems. spaCy's built-in Sentencizer is a fast, lightweight, rule-based component designed for this task. However, by design, it makes a trade-off: speed and simplicity over accuracy on e

nlprulebasedpython
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ExternalSoftware Engineering
DEV Community

I spent 10 years building enterprise search for clients. Then I open-sourced all of it.

Every enterprise search project I did in the last decade ended the same way. A search engine (Solr or Elasticsearch), a pile of glue code for facets and relevance, then, in recent years, a RAG pipeline bolted on the side, and finally an agent framework on top of that. Three stacks, three sets of bugs, one recurring client requirement: the data cannot leave our network. After repeating that build enough times, I turned it into a single platform. This year I open-sourced the whole thing under Apac

opensourceairag
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ExternalSoftware Engineering
DEV Community

Construindo uma plataforma GitOps do zero: Kubernetes, ArgoCD, Terraform e Observabilidade

Durante muito tempo, meu contato com Kubernetes foi do tipo "já mexi": subi um pod aqui, apliquei um manifesto ali, vi um deploy acontecer. Mas existe uma distância enorme entre usar uma ferramenta e entender o que ela faz por baixo. Eu venho de backend Java e automação de testes, e decidi atravessar essa distância de propósito construindo, do zero, uma plataforma GitOps completa e local. Este artigo é o registro dessa construção. Não é um tutorial de "cole esse comando"; é uma explicação de por

kubernetesdevopsgitops
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ExternalSoftware Engineering
DEV Community

Workflow JSON Is Generated Code

A screen recording can show a whole job without explaining it. Someone opens an inbox, checks a sender, copies a value into a customer record, compares it with a spreadsheet, sends a summary, and moves on. That work is visible, but automation still has to survive a harder test: can the system rebuild the job without dropping a step, wiring the wrong action, or importing something that looks right and fails later? I built the n8n side of the screen-analysis project around that problem. The genera

n8nworkflowautomationcodegeneration
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