SShortSingh.
Back to feed

Color-coded badge system helps track WordPress site maintenance staleness at a glance

0
·2 views

A developer managing multiple WordPress sites built a visual badge system to display how many days have passed since each site's last maintenance. Prompted by a client request, the solution shifts from showing absolute dates to relative elapsed time paired with color-coded risk tiers: green for 0–14 days, gray for 15–29, amber for 30–59, and red for 60 or more days. The badges appear inline next to the last maintenance date and include a hover tooltip to reinforce the day count's meaning. To keep the code clean, day-calculation and color logic were consolidated into reusable helper functions rather than scattered across list and grid views. The implementation also addresses cross-browser date parsing quirks in Safari and guards against negative elapsed days caused by clock skew or future-dated entries.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Log in to join the discussion and vote.

Log in

Related stories

0
ProgrammingDEV Community ·

Developer Releases Four Papers on Making AI-Assisted Work Independently Verifiable

A developer has published four short papers centered on a single concept: ensuring that AI-assisted work can be reliably re-checked. The papers introduce tools including EMET, a byte-level integrity checker; BuildLang, a compiler that seals verifiable receipts; and Witnessed Independence, a mechanism that tracks whether a verifier assessed its own output. A fourth concept, Proof Packets, wraps individual agent actions so that verdicts are always derived from external checks rather than self-reported claims. All source code and conformance tests for the four implementations are publicly available.

0
ProgrammingHacker News ·

FedFinder Tool Matches NAICS Codes and Past Performance to Federal Contracts

A developer has launched FedFinder, a free web-based tool aimed at helping businesses win government contracts. The tool works by pairing a company's NAICS codes with its past performance data to identify relevant contract opportunities. It was shared on Hacker News, where it received minimal initial engagement. The tool is accessible at fedfinder.net and appears targeted at small businesses or contractors navigating the federal procurement process.

0
ProgrammingDEV Community ·

Why Evaluating AI Models Is Far More Complex Than Testing Traditional Software

A deep dive into Chapter 3 of 'AI Engineering' highlights that evaluating AI systems is as challenging as building them, unlike traditional software where pass-or-fail tests are straightforward. AI models can produce multiple plausible answers to the same question, making it difficult to determine which response is genuinely better. Benchmarks like GLUE, introduced in 2018, became obsolete within a year as models surpassed them, prompting the creation of harder alternatives like SuperGLUE — illustrating how evaluation standards must constantly evolve. Metrics such as perplexity, cross entropy, and bits-per-byte offer ways to measure how well a model predicts text, but these figures are only meaningful when interpreted within the context of a specific dataset. The chapter also draws a distinction between exact evaluation, suited to tasks with definitive answers like math problems, and subjective evaluation, required for assessing qualities like helpfulness or creativity.

0
ProgrammingDEV Community ·

Claude vs ChatGPT for Coding: Strengths, Weaknesses, and Best Use Cases

A hands-on comparison of Claude and ChatGPT finds both are capable coding assistants but excel in different scenarios. Claude is better suited for complex, context-heavy tasks such as code review, debugging multi-step failures, and refactoring large codebases, as it reasons more carefully and preserves existing code patterns. ChatGPT, meanwhile, performs well for quick snippets, common framework tasks, and mixed workflows that span coding, documentation, and product writing. For code review specifically, Claude tends to give more precise, actionable feedback rather than generic compliments, while ChatGPT often requires a narrowed prompt to stay focused on critical issues. Ultimately, experienced developers working on specific engineering tasks may prefer Claude, while those seeking a versatile, all-purpose assistant may find ChatGPT more convenient.