Developer Builds Cognitive Distortion Detector Using Plain JavaScript in Under 150 Lines

·3 views

A developer has shared a fully functional cognitive distortion detector built entirely in vanilla JavaScript, requiring no frameworks or external libraries. The tool is based on the 10 cognitive distortions identified by Aaron Beck in Cognitive Behavioral Therapy, including patterns like catastrophizing, mind reading, and all-or-nothing thinking. It works by scanning user-input text for keyword and phrase patterns associated with each distortion type. When a pattern is detected, the tool flags it and provides a reframing prompt to encourage more balanced thinking. The project demonstrates that meaningful mental health support tooling can be achieved with minimal code and no dependencies.

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)

Why Your Git Diff Shows Hundreds of Changes When You Edited One Line

Large, unexpected diffs in pull requests are often caused by invisible character differences rather than actual code changes. Common culprits include mismatched line endings between Windows (\r\n) and Linux (\n) systems, trailing whitespace added by editors on save, and encoding shifts such as BOM insertion or latin-1 to UTF-8 conversions. Developers can diagnose these issues using commands like git diff --ignore-cr-at-eol or git diff -w to isolate real changes from whitespace noise. To prevent such problems, teams can standardize settings through a .gitattributes file using text=auto eol=lf and align editor behavior via .editorconfig. Reviewing diffs with whitespace-ignoring flags before pushing is recommended to keep pull requests clean and reviewable.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Brazil's CBDC Drex Uses Zero-Knowledge Proofs to Shield User Transaction Data

Brazil's Central Bank Digital Currency, Drex, is being engineered with privacy as a core design challenge rather than an add-on feature. Early pilot tests in 2023–2024 revealed that transactions on the Hyperledger Besu network were visible to all participating institutions, prompting authorities to launch a technical competition for privacy-preserving solutions. The leading approach uses Zero-Knowledge Proofs, which mathematically verify a transaction's validity without exposing amounts or participant identities to third parties on the ledger. A selective disclosure model ensures regulators can access specific records only via legal triggers such as court orders, aligning with Brazil's data protection law, the LGPD. Experts caution, however, that strong cryptography alone is insufficient, as smart contract vulnerabilities and metadata patterns could still compromise user privacy if implementation is not carefully hardened.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How Raw Logistics CSV Data Was Transformed Into a Power BI Management Tool

A business intelligence project for JCars Logistics, a vehicle sales and logistics company operating across branches in Kenya, involved building a complete Power BI solution from a messy 276-row, 32-column CSV dataset covering 2025–2026. The source data contained 21 categories of quality issues, including duplicate order IDs, mixed date formats, invalid calendar entries, inconsistent categories, multiple currencies, and unreliable revenue figures. Before any dashboard could be built, the data was profiled, cleaned, and standardised in Power Query, with a stable audit key added to replace an untrustworthy Order ID column. A dimensional model was then constructed alongside explicit DAX measures to track revenue, profit, branch performance, delivery service levels, logistics costs, and vehicle return rates. The project concluded with an interactive executive report and a structured set of findings and recommendations for management decision-making.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

n8n vs Make 2026: Pricing Models Differ More Than Most Comparisons Admit

Automation platforms n8n and Make use fundamentally different billing units: Make charges per module execution within a workflow, while n8n charges a flat fee per workflow run regardless of how many steps it contains. This distinction makes n8n significantly cheaper for complex, multi-step workflows run at volume, whereas Make can be more cost-effective for simple, high-frequency automations. Make's 2026 paid plans start at $9/month for 10,000 credits, while n8n Cloud starts at 20 EUR/month for 2,500 executions; n8n also offers a self-hosted community edition with no execution limits for roughly $5–50/month in server costs. n8n supports Git-based version control and self-hosting, making it better suited for developer-led teams with compliance or infrastructure requirements. Make's visual interface is easier for non-technical users to maintain, which the article identifies as a genuine organisational advantage over any purely technical feature comparison.

0 comments Read more at DEV Community