Developer builds open-source tool to test if AI agents can complete real store purchases

·1 views

A developer has released AgentiQA, an open-source tool designed to test whether AI shopping agents can successfully navigate and complete purchases on real e-commerce stores. The tool addresses a gap in existing 'agent-readiness' checks, which only validate markup and structured data rather than simulating an actual purchase flow. AgentiQA uses Claude to drive a headless Chromium browser through a store's checkout funnel, reading a text snapshot of the DOM and interacting with elements without using a vision model. Built-in safeguards prevent the agent from entering payment details, creating accounts, or submitting real orders, with payment field detection enforced at the executor level rather than relying solely on the AI's instructions. The tool supports both the Anthropic API and the Claude CLI subscription, costing roughly $1–2 per audit via the API or nothing extra for subscription users.

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)

Nine Free LLM API Providers That Require No Credit Card in 2026

A developer guide published on DEV Community outlines nine LLM API providers — including Google Gemini, Groq, Cerebras, and OpenRouter — that offer free usage tiers without requiring credit card registration. The guide is aimed at developers seeking to reduce API costs or experiment with multiple models during prototyping. A key recommendation is to manage multiple providers as a pool and implement automatic fallback routing, using tools like LiteLLM, to maintain availability when rate limits are hit. Developers are also warned that output format inconsistencies between models can break conversation context in multi-turn AI agents. The guide cautions that free-tier services often permit user data to be used for model training, making them unsuitable for handling sensitive or confidential information.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

CloudBoost 4.2 shifts focus to session diagnostics over generic Mac game boosting

Developer Victor Brandão has rebuilt CloudBoost, a macOS cloud gaming diagnostics app, with version 4.2 centered on explaining network and system issues during gaming sessions rather than acting as a generic performance booster. The app monitors signals including latency, jitter, Wi-Fi activity, thermal pressure, and background traffic, then presents a timeline with severity ratings, possible causes, and suggested next steps. Unlike earlier versions that displayed vague status labels, the updated interface offers expandable diagnostic details, before-and-after session reports, and clearer distinctions between network instability and native-game issues like shader compilation stutter. CloudBoost can apply temporary session adjustments such as DNS refresh and background traffic reduction, but does not silently close user applications or make changes that persist after a session ends. Core features remain free, while a one-time $10 PRO license unlocks automation, advanced diagnostics, and full session timelines; the current release is version 4.2.4.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer Builds Open-Source AI Review Tool That Blocks Unfinished Work from Shipping

A developer has released revüe, an MIT-licensed AI Agent Skill compatible with Claude Code, Codex, and Cowork, designed to enforce quality gates before work is approved for release. The tool combines a structured review workflow with local validators, schemas, and 108 automated evaluation cases to prevent AI-generated drafts from being accepted on surface polish alone. Each review run produces one of four verdicts — ship, ship with changes, caution, or block — and non-ship verdicts must include a tagged resolution path to avoid unresolved flagging. For design and marketing output, revüe checks actual HTML deliverables against a defined design-system lock covering colors, typography, banned patterns, and structural rules, catching violations even when hidden in CSS variables or base64 SVGs. The validators rely solely on Python's standard library with no external API calls, making the tool suitable for CI pipelines and offline environments.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Why AI Agent Memory Needs a Structured Design, Not Just a Prompt

A beginner-focused system design guide published on DEV Community outlines how AI agents require distinct types of memory to function effectively. Author Harsh Mishra identifies four memory categories: working memory for current tasks, episodic memory for past events, semantic memory for stable facts and preferences, and procedural memory for established playbooks. Each memory type demands different storage mechanisms, retention rules, and trust levels rather than a single unified memory layer. The article argues that simply instructing an agent to 'have memory' is not a valid design decision. The guide is aimed at developers new to AI agent architecture and was published on July 15.

0 comments Read more at DEV Community