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Monday, 19 October 2026 Reading Room

Tech

HELLO FRIENDS

I build crypto signal engines. My flagship system, USS (Unified Signal Scanner), combines momentum, multi-timeframe trend analysis, Smart Money Concepts, and dynamic risk management — 21 filters across 4 layers, two-directional signals, built-in volatility protection. I specialize in fast, error-free code and scalable architectures for real-world trading. Right now, I'm developing a code that…

dev.to ·

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n8n-sync — Git-based version control for n8n Community Edition workflows

If you are self-hosting n8n Community Edition, you already know the pain: no built-in version control. Enterprise has Source Control at €667/mo, but for Community users, there is nothing.

  • n8n-sync offers Git-based version control for n8n Community Edition workflows
  • Features include pull, push, diff, and status commands for workflow management
  • Tool eliminates black box nature of self-hosted n8n workflows with Git integration

·dev.to

The Test Wasn't Wrong. It Was Answering an Older Question.

The Test Wasn't Wrong. It Was Answering an Older Question. I shipped a change I had reviewed, simulated, and deployed. An hour later my acceptance suite was red.

  • Test results were misinterpreted as code errors due to outdated data
  • Three categories of red results: missing artifact, stale expectation, genuine regression
  • Genuine regression poses most insidious issue by failing test expectations

·dev.to

Quantified Self: How I Handled 100GB of Messy Biosensor Data with Polars and Dask

We live in the era of the "Quantified Self." Between my Oura ring, Apple Watch, and continuous glucose monitor (CGM), I’m generating more data than a mid-sized SaaS startup from 2010.

  • Process 100GB biosensor data using Polars Lazy API to avoid RAM overload
  • Align varying biosensor time series with Polars, resample, interpolate data
  • Scale processing with Dask and store results in efficient Parquet format

·dev.to

ARTF Explained: How a Live Bid Request Gets Patched Before the Auction

On 14 October 2026, Prebid previewed an auction model where ad servers bid into Prebid Server instead of the other way around ( AdExchanger ).

  • ARTF inverts traditional ad server-bidder process, with Prebid Server bidding first.
  • ARTF v1.0 framework introduces containerized agents to propose bid request modifications.
  • Agents can adjust deal floors, add metrics, and specify path/value changes in bid request.

·dev.to

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