Detection tells you where the PII is. Anonymization decides what to do about it. Presidio's anonymizer ships with five built-in operators, each suited for different compliance requirements and use cases. Choosing wrong means either destroying data you needed to recover or leaving sensitive information exposed in ways you didn't intend.
This part covers every anonymization operator, when...
Target: microsoft/playwright
Issue: microsoft/playwright#39948
Status: local patch prepared and validated
Patch commit: 269228a88 — fix(chromium): resolve worker response header hang
This field test targeted a Playwright Chromium hang where response.allHeaders() could hang for a worker script loaded inside an iframe.
The issue shape is sharp:
a worker script ...
The problem: agents need citable facts; public data is scattered across 100s of APIs.
What OSF does: collect → provenance-stamp → serve over MCP + x402.
Runnable examples:
curl -s https://api.osf-master-server.com/.well-known/x402
The biggest mistake I made with AI app builders was trusting a polished first screen too early.
Now I do a very simple review loop before I treat any AI-generated MVP as real progress.
With NxCode, I start with one user, one workflow problem, and one core loop. Then I check four things immediately:
I always enjoy AI programming.
My usual workflow is to create a plan, have it audited, and then proceed with the implementation.
However, I felt that the auditing process hasn't been working well, especially since Opus 4.7. Perhaps it's because Opus has gained a broader perspective? It often brings up points that are irrelevant to my plan, and when I have it perform an automated...
AI coding tools are powerful.
But they’re also wasteful.
A tiny helper-function question does not need Claude Sonnet.
A huge architecture review probably does.
That gap costs money.
So I built Badgr Auto.
It’s a local OpenAI-compatible proxy that routes each AI coding request to the cheapest model that can handle it.
Point your coding tool...