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Forestiere Underground Gardens

Article URL: https://en.wikipedia.org/wiki/Forestiere_Underground_Gardens Comments URL: https://news.ycombinator.com/item?id=48741359 Points: 3 # Comments: 0

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ProgrammingDEV Community ·

How developers handle HTTP Basic auth in WordPress maintenance tools using Playwright and urllib

Developers maintaining WordPress sites behind HTTP Basic authentication face a split-path problem where SSH-based tools work fine but HTTP-based tools like Playwright and urllib return 401 errors. The Playwright path fails visibly by capturing auth-prompt screenshots instead of real page thumbnails, while the urllib path silently masks real failures by treating repeated 401 responses as a healthy baseline. To fix this, a shared utility module called basic_auth_utils.py was built to supply credentials in the correct format to both paths from a single source, preventing format mismatches. The credentials are stored in the site configuration JSON using safe dictionary lookups so existing sites without Basic auth are unaffected. Basic auth passwords are also Fernet-encrypted at rest, consistent with how WordPress admin passwords are already handled in the tool.

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ProgrammingDEV Community ·

Evaficy Smart Test launches on Product Hunt as AI tool for manual QA teams

A developer has launched Evaficy Smart Test, an AI-powered quality assurance platform aimed at manual testing teams, on Product Hunt after roughly 18 months of development. The platform targets persistent pain points in QA workflows, including writing test cases, tracking validation, and pre-release test planning. It organises test cases through a Projects and Scenarios structure with role-based access for different team roles such as QA engineers, tech leads, and product owners. The AI generation feature is designed to give users structured control over outputs — allowing them to specify test type, affected page, and custom fields — rather than relying solely on open-ended prompts. The launch marks the public debut of the tool, with the developer inviting feedback on both the product and its underlying AI integration.

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ProgrammingDEV Community ·

FalkorDB Vector Search Fails Without Correct Data Type and Index Setup

Developers using FalkorDB for semantic search or GraphRAG often encounter errors, empty results, or slow full scans when calling db.idx.vector.queryNodes, even when data appears correctly stored. The root cause typically comes down to two mandatory conditions that must both be satisfied simultaneously for native vector search to work. First, embedding data must be stored using the vecf32() function to ensure it is saved as a native vector type, not a plain list or string. Second, a vector index must be explicitly created on the corresponding property, as the index and the correct data type together enable efficient Approximate Nearest Neighbor search. A common mistake is passing a Python float list directly through Cypher without wrapping it in vecf32(), which causes FalkorDB to store it as a List type that the vector index does not recognize.

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