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ExternalSoftware Engineering
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Building a Personal Finance App with Open Banking APIs in 2026 (No Certificates Required)

Building a personal finance app used to mean begging users to paste a CSV export — or worse, to share their banking password with a screen-scraping service. Open Banking was supposed to fix that, and under PSD2 it largely has. Every regulated EU/UK bank now exposes a standard API that returns your balances and transactions as clean JSON, with your explicit consent. So why isn't every indie developer shipping a net-worth dashboard on top of it? Because the "official" path to those APIs requires a

openbankingfintechpython
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ExternalSoftware Engineering
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Vibes Are Not a Benchmark: A 30-Minute Harness to Test Whether a Free Coding Model Can Touch Your Repo

Last month I wrote about the six questions I ask every new model. Those questions are good for a first impression, but they have a blind spot: they tell me how a model talks about code, not whether it can survive contact with my code. So I built a small, ugly, reproducible harness that runs any coding model against five tasks drawn from my own git history, scores the results with my real test suite, and writes the outcome to a CSV. This post is that harness, the reasoning behind it, and where fr

aiproductivitypython
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ExternalSoftware Engineering
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My README Promised Flags My CLI Doesn't Have. I Built a Drift Detector.

A stranger opened an issue on one of my small CLI tools last month: "The --watch flag in your README doesn't exist." They were right. I had removed --watch two releases earlier, rewritten the feature as a config option, updated the changelog, and forgotten the README's usage section entirely. Worse, the README still showed a fenced code block demonstrating the flag, so every new user was copy-pasting a command that errored out immediately. This is documentation drift, and it's embarrassingly com

documentationclipython
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ExternalSoftware Engineering
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ML Feature Store Versioning: Reproducible Quants

ML Feature Store Versioning: Reproducible Quants By Shakti Tiwari · Educational only · Not investment advice This article explains ml feature store versioning: reproducible quants from first principles. No live market numbers are quoted; the structure is what lasts. ML Feature Store Versioning: Reproducible Quants is one of those subjects that sounds simple until you implement it, at which point the hidden complexity appears. The first version works on a laptop with a tiny file; the second ver

pythonmachinelearningtrading
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ExternalSoftware Engineering
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Extracting Recording Information From a Scanned Deed

The recording reference is how every other document in a title chain points at this one. It is a citation, not a database key, and the difference shows up the moment somebody tries to look one up using your normalised version of it. The clerk’s stamp is applied at the moment of recording and carries more than a number. Typically it holds the county and state, the date and time of recording, a reference — book and page, an instrument number, or both — the recording officer’s title, and often the

aillmmachinelearning
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