😱 Falsehoods Programmers Believe in
Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship.
A collection of AI prompts for generating comprehensive manual test scenarios from software projects, covering features, edge cases, security, validation, and expected behavior.
A curated collection of JavaScript's unexpected behaviors, type coercion quirks, and language edge cases.
All the things you take for granted — names, time, addresses, Unicode — break in ways that page you at 3am. A consolidated falsehoods-programmers-believe reference.
A C++ program that adds two non-negative integers represented by reverse-ordered linked lists and returns the sum as a new linked list, simulating digit-by-digit addition in reverse order.
This repo contains the answers for programming questions asked in interviews and coding rounds,
This example generates a random secret key and ordinal value, creates a Pedersen commitment using secp256k1, generates a Bulletproof using secp256k1_bulletproofs, encodes the data as a hex string, adds it as an output to a Bitcoin transaction, and broadcasts it to the network. Note that this is a simplified example and should not be used without ad
Reproducible archetype-based train/test splitting and benchmarking for ML data sets
Claude Code skill — deep-dive analysis during planning. Traces execution paths, finds related code, surfaces edge cases.
Zeta: Physics-Inspired AI Test Generator — Gemini 2.5 + Z-Score/Isolation Forest for risk-aware, edge-case-focused automated QA. FastAPI backend — generate executable Selenium tests instantly.
A curated collection of logic injection, type confusion, and edge-case payloads designed to break unsafe assumptions in application logic.
AI writes the happy path. We finish the other 40% — detect and design the empty/loading/error/validation/toast + 5 more edge states AI generators skip. Engine + web app + MCP server.
Different unrelated stuff which can not be categorized by qualifying feature
Audit Figma flows for missing states, broken transitions, unsafe recovery paths, and unresolved product decisions.
Numerical edge-case testing for array code. Runs your functions on NaN, ±inf, overflow, subnormals, cancellation and float16/32/64, and compares them with high-precision references and metamorphic properties. Works as a pytest plugin, a CLI and a GitHub Action. Optional LLM agent suggests fixes that must pass every check. pip install numguard-ci
Manual QA Labs: An interactive SDET portfolio project. Identify critical edge cases across professional scenarios including RBAC, Security Injection, and Boundary Logic. Built with React 19 and Tailwind v4 to demonstrate advanced testing principles, input sanitization, and complex state management.
Claude Code skill for systematic edge case discovery and bug hunting. 12 attack vectors, 150+ patterns. Finds bugs before your users do.
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