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A WordPress safety layer that checks CSS before saving, warning about risky changes and blocking critical errors so a small CSS mistake can't silently break a site.
What to know▼
How it works
Checks CSS before save, warns on risky changes, blocks critical errors, keeps recoverable backups.
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A free Chrome extension that turns a click on a broken webpage element into a structured bug report (with screenshot, browser/OS context, console errors) pushed straight to Linear or Jira, instead of a back-and-forth email/Slack explanation.
FreeNo sign-up
What to know▼
How it works
Click to pin an element, captures CSS selector, coordinates, browser/OS/viewport/console errors, one click sends to tracker
What's different
Works anywhere Chrome can open a page, including localhost and behind VPN, no dashboard/account needed
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A bug-capture tool that records a browser session, console errors, and network requests into one file that Claude Code, Cursor, or Windsurf can debug via a local MCP server.
FreeNo sign-up
What to know▼
How it works
Captures a session replay plus console/network evidence into an offline HTML file, then exposes it to AI coding agents through a local MCP server.
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A CLI tool that generates backend API integration tests by first understanding routes, handlers, and models, for developers using AI coding agents instead of writing tests manually.
Open source
What to know▼
How it works
CLI-only, open-source, requires an LLM key to generate integration tests.
Best for
Developers using AI coding agents who need structural understanding before test generation.
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A lightweight error-tracking platform for JavaScript applications that captures browser and Node.js errors via an SDK into a developer dashboard, built for indie developers and small teams.
What to know▼
How it works
Add a small SDK, capture errors from browser or Node.js apps, and view them through a developer-focused dashboard.
Best for
Indie developers and small teams who want error tracking without a complex monitoring setup.
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Lets teams run scheduled browser jobs — screenshots, PDF/Markdown/HTML exports and no-code checks for pricing, signup and UI flows — without maintaining their own Playwright setup.
Can export my data
What to know▼
How it works
Runs scheduled browser jobs to capture screenshots, export pages to PDF/Markdown/HTML, and run no-code checks on pricing, signup, docs and UI flows, keeping outputs, baselines and alerts in one workspace.
What's different
Replaces maintaining your own Playwright infrastructure.
Best for
Teams that need recurring page checks and exports without running browser automation themselves.
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Regression testing for Claude Skills — catches when a model update silently breaks a trigger, an instruction gets ignored, or a redteam attack succeeds, and writes each failure as a permanent eval case instead of just failing CI. Also includes OWASP-mapped security lint, git-native bisect, and cross-model regression testing.
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Frames your web page inside a real iPhone, Pixel, Galaxy or iPad simulation in your browser — true viewport, pixel density and touch signals, running 100% locally so localhost and logged-in pages just work.
Free
What to know▼
How it works
Runs entirely in-browser against 93 verified device profiles; includes screenshots, recording, side-by-side compare and environment spoofing.
Pricing
Free on Chrome, Edge and Firefox.
Best for
Developers and QA testing responsive design without physical devices.
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A feedback widget for your site that captures bug reports along with console logs, network errors and stack traces automatically — built for dev teams, not a general NPS tool.
No tracking
What to know▼
How it works
A one-script-tag feedback widget for websites that lets visitors submit praise, ideas and bug reports along with automatic developer context: console logs, network errors, JS stack traces, and a click-trail repro summary. Higher plans add AI sentiment summaries, screenshots, and screen recordings, plus webhook routing to Slack or Linear.
What's different
Captures full developer debug context (console logs, failed network calls, stack traces) with every submission, aimed at dev teams rather than general NPS tools.
Best for
Development teams who want bug reports that already include reproducible technical context.
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Records every decision an ML model makes with the exact inputs and context so it can be replayed and debugged later, self-hostable with a free community edition.
Free
What to know▼
How it works
Records the exact state that produced each model decision, allowing replay months later; supports incident debugging as a query, per-entity drift tracking, and training data joins without label leakage.
Pricing
Free Community Edition; runs on your own infrastructure.
Best for
ML teams needing to audit or debug model decisions after the fact.
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A free, signup-free hub covering the whole software interview prep journey (mock voice interviews, coding challenges, system design, resume) so developers stop juggling separate tools.
FreeNo sign-up
What to know▼
How it works
Practice with a live AI voice interviewer that adapts to your role and level, plus machine coding challenges under real timers, DSA patterns, frontend/backend system design roadmaps, company-tagged problems, JavaScript conceptuals, Git mastery, interview guides, and a resume builder.
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A bug-capture tool that logs console/network/video and routes fixes through an MCP workflow into Jira, Linear or Slack, plus free WCAG accessibility scans to reduce legal exposure.
Watch out · Also includes a free instant WCAG scan (axe-core + IBM Equal Access) plus human-backed accessibility audits, without overlay band-aids.
Free
What to know▼
How it works
Captures bugs with console/network logs and video, then routes them through an MCP workflow that can auto-trigger a fix and open a PR; integrates with Jira, Linear, and Slack.
Pricing
Free tier included.
Watch out
Also includes a free instant WCAG scan (axe-core + IBM Equal Access) plus human-backed accessibility audits, without overlay band-aids.
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A single-binary CI test runner for LLM apps and agents that defines test cases in YAML and replays model or judge calls offline at no cost.
Works offline
What to know▼
How it works
Defines test cases and scorers in YAML, runs local targets on every pull request via REST or shell, with baselines, trials, model comparisons, and OTel traces.
Pricing
Replays offline for $0.
Best for
Teams that need CI regression testing for LLM apps and agents.
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Captures a bug's console/network logs and a screenshot from Chrome's side panel, drafts the report with AI, and sends it to your tracker — free, no signup.
FreeNo sign-up
What to know▼
How it works
Captures a bug's console/network logs, environment details and a screenshot from Chrome's side panel, lets you tweak CSS live for before/after comparisons, and drafts the report with AI before sending it to your tracker.
Pricing
Free, no account required.
Best for
Developers or QA reporting bugs who want logs and environment context captured automatically instead of typed by hand.
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A Windows app that turns real screen actions into annotated step-by-step guides with local OCR and no cloud upload, aimed at IT support, helpdesk and training teams.
Works offlineNo subscriptionCan export my data
What to know▼
How it works
A local-first Windows app for turning real desktop actions into professional visual guides: it captures clicks and active windows with consent, offers a structured editor, annotations, blur, and local OCR, and exports to PDF, DOCX, HTML, PowerPoint, or Markdown.
What's different
Keeps screenshots, OCR, and documents entirely local on the user's PC, with no SaaS account and no keystroke logging, unlike cloud-based alternatives.
Pricing
Available on Microsoft Store with a one-time lifetime license.
Best for
IT support, helpdesk, QA, operations, and training teams that need step-by-step documentation from real desktop actions.
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A CLI linter that statically checks JSON schemas against each LLM provider's constraints so they don't fail at runtime.
Works offline
What to know▼
How it works
A CLI that statically lints JSON schemas/tool definitions against each LLM provider's documented constraints (e.g. Anthropic-rejected keywords, missing additionalProperties), pointing to the exact JSON-Pointer path and reason, with a repair pass that emits a best-effort provider-valid variant.
What's different
Makes no model calls, needs no API key, and has zero runtime dependencies.
Best for
Teams whose schemas work on one LLM provider but 400 on another.
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A frontend developer job simulation with realistic tasks and a verified certificate for a portfolio.
What to know▼
How it works
Presents realistic frontend development tasks inspired by real engineering teams, including building responsive UI, fixing bugs and reviewing code, ending with a verified certificate.
Best for
People building a portfolio to prove frontend development skills.
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Self-hosted AI reviewer for GitHub pull requests with rule-based severity and human approval gates.
Self-hosted
What to know▼
How it works
A self-hosted AI reviewer for GitHub PRs that finds bugs, with rules setting severity and humans approving high-risk findings; every review is auditable and replayable.
Best for
Development teams wanting AI PR review with human oversight.
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A terminal tool that groups similar Go goroutines and shows where a running application is spending its time, instead of manually scrolling through stack traces.
What to know▼
How it works
Attaches to a running Go application and groups similar goroutines in an interactive terminal UI.
Best for
Go developers debugging applications with large numbers of goroutines.
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Captures full runtime state the instant an error fires and replays it locally, feeding coding agents like Claude Code real debugging context instead of a bare stack trace.
Free
What to know▼
How it works
Captures the full runtime state the instant an error fires — stack, variables, network, DOM — and hands it to Claude Code, Cursor, or any MCP-compatible agent; install a 2-line SDK, then run `rv replay snap_id` to restore the local environment.
What's different
Unlike Sentry or LogRocket, it doesn't just show you what happened — it lets you replay the exact state locally.
Pricing
Free plan forever.
Best for
Developers debugging with AI coding agents who are tired of working from a bare stack trace.
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A GitHub App that regroups a pull request's files by business logic (auth, payments, migrations) and flags risk and missing tests, so reviewers skip reconstructing context themselves.
What to know▼
How it works
A GitHub App that regroups a pull request's changed files by business logic (auth, payments, migrations) instead of file order, briefs you on risk, and flags things like forgotten tests.
What's different
Deterministic grouping by context rather than file order, ready in about 2 seconds; also offers Shield, a free private PR triage tool for open-source maintainers.
Pricing
Free tier, no credit card required.
Best for
Developers and maintainers reviewing AI-generated pull requests who need to skip reconstructing context themselves.
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A self-hosted, multi-agent code review bot for GitHub and GitLab that runs on your own infrastructure and charges per review rather than per seat — built for engineering teams.
Self-hosted
What to know▼
How it works
A self-hosted, multi-agent code review pipeline for GitHub and GitLab that runs on your own infrastructure, using your own model or a GitHub Copilot license, and posts findings as native bot-owned review comments.
What's different
Charges per review rather than per developer seat, and runs entirely on your own infrastructure.
Pricing
Pay per review, not per developer.
Best for
Engineering teams who want automated code review without sending code to a third-party SaaS.
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GitHub bot for API teams that blocks breaking OpenAPI contract changes from merging instead of catching them after they break client integrations.
What to know▼
How it works
A GitHub App that checks OpenAPI 3.x JSON or YAML contracts on every pull request and posts a native GitHub Check, catching removed endpoints, responses, required inputs, and incompatible schema changes before merge.
What's different
Works without adding a workflow file, unlike typical CI-based contract checks.
Pricing
Founding Starter offer of £1 for the first month, then £19/month.
Best for
API teams that want breaking OpenAPI changes blocked before they merge instead of caught after they break client integrations.
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A cozy tower-defense game for iPhone and iPad where you plant pest-control gear to stop bugs reaching your veggies; free for the first 8 maps, then a $0.99 one-time unlock for the rest.
Pay onceNo tracking
What to know▼
How it works
A cozy tower-defense game where bugs march toward your veggies and you plant pest-control gear like pellet guns, sprays, zappers and Venus traps to stop them, across 30 maps plus an Endless mode.
Pricing
Free for the first 8 maps; a one-time $0.99 unlocks everything.
Best for
iPhone and iPad players wanting a casual, low-commitment tower defense game.
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A local command-line runner for LeetCode-style coding problems, built around open test suites you can inspect and run yourself instead of a hosted judge.
What to know▼
How it works
A local command-line LeetCode-style problem runner built in Haskell: it takes a solution file, matches it to a problem manifest, builds a language-specific harness, and judges the result locally via a pluggable execution backend.
What's different
Tests and runtime templates live in the repo and are open to inspect, instead of running on a hosted, closed judge.
Best for
Developers who want to run and inspect LeetCode-style coding tests locally rather than on a hosted judge.
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Your AI agent for autonomous web app testing
Free
What to know▼
How it works
Give it a URL and it explores your web app the way a real user would — mapping flows, finding bugs, and generating test cases; describe a flow in plain English and it tests it, and tests adapt on their own when the UI changes.
What's different
Self-healing tests that adapt automatically when the UI changes, and can run locally against apps behind a firewall or on localhost.
Pricing
Free tier open, no card required.
Best for
Developers who need automated web app testing, including apps on private networks or localhost.
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A cloud service that provides real Android devices for QA testing and automation — infrastructure for developers and QA teams, not a mobile app itself.
Nothing to install
What to know▼
How it works
Provides real Android devices in the cloud for QA testing and automation.
Best for
QA teams and developers who need real-device testing infrastructure.
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A Python-based simulation tool for hardware engineers to model and stress-test physical systems, like motors, batteries, and drivetrains, before building them, refining the model with real bench data over time.
What to know▼
How it works
Lets engineers compose a hardware system model in Python and stress-test it in software; real bench measurements can be fed back to improve the model for future iterations.
Best for
Hardware engineers who want to catch failure modes (overheating, battery sag, coupling issues) before spending time and BOM cost on a physical build.
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Bundles 10 JavaScript developer tools, including a code analyzer, performance estimator, visualizer, AST explorer, and refactoring engine, into one no-signup platform.
No sign-up
What to know▼
How it works
Includes a 20+-rule code analyzer, complexity/performance estimator, interactive visualizer for closures and async code, AST explorer, a 5-mode refactoring engine, a bug-hunting game, and interview prep from junior to staff level.
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A free, on-device tool that lets you draw and talk over your screen so your AI coding agent sees exactly what you mean — built for Claude Code, Cursor and Codex users.
FreeNo sign-upWorks offline
What to know▼
How it works
Draw directly on your screen and talk while your coding agent watches, then get back annotated screenshots, a voice transcript, and a timeline of what you pointed at, all combined together.
What's different
Runs 100% on-device and works with Claude Code, Codex, and Cursor.
Pricing
Free, no account required.
Best for
Developers who need to show an AI coding agent a visual bug or layout idea instead of describing it in words.
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A desktop packet-capture and network-debugging tool for Windows and macOS that can mirror traffic live from a paired iOS or Android app, keeping all data on-device. For developers.
Watch out · All data stays on the user's device and is never uploaded to a server.
Data stays with you
What to know▼
How it works
A desktop packet capture and network debugging tool for Windows and macOS that captures and decrypts HTTP/HTTPS traffic, inspects JSON/XML/HTML, compares requests/responses, and replays requests to reproduce bugs. Pairs with a mobile PCP app to mirror traffic live from Android and iOS devices.
What's different
Mirrors mobile device traffic to the desktop in real time without requiring root or jailbreak on the mobile device.
Best for
Developers debugging network traffic across desktop and mobile apps.
Watch out
All data stays on the user's device and is never uploaded to a server.
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A free, keyless MCP database of verified step-by-step fixes and documented failure modes (like Stripe webhooks breaking) that AI agents can query before attempting a task.
Free
What to know▼
How it works
An MCP server that AI agents query before attempting a task; it returns verified 'routes' — step sequences plus documented failure modes (e.g. express.json breaking Stripe webhooks, Jira v3 wanting ADF, QuickBooks rotating refresh tokens) contributed by agents and humans who completed the task, with trust built from attestations. One MCP install works with Claude, OpenAI, LangChain, and CrewAI.
What's different
Reads are free and keyless, and it publishes 8,700+ routes across 2,100+ domains with live metrics.
Pricing
Reads are free and keyless.
Best for
Developers running AI agents that repeatedly hit the same known integration failures and want documented fixes up front.
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A developer tool for building mock API endpoints and sandboxes — simulate responses, trigger webhooks, inspect logs — so frontend, QA and demo work isn't blocked waiting on real backend APIs.
What to know▼
How it works
Lets teams create mock API endpoints and sandboxes from one workspace — simulate responses and edge cases, trigger webhooks, and inspect request logs.
Best for
Frontend, QA, and demo work that's blocked waiting on production APIs that aren't ready yet.
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AI drives a real browser through user flows you describe in plain English and flags breakage plus WCAG accessibility issues — built for solo and small SaaS teams without dedicated QA.
What to know▼
How it works
You describe a user flow in plain English (signup, checkout, onboarding), and AI drives a real browser through it, producing a data-rich report with full trace replay and WCAG accessibility results that adapt as your UI changes. Also offers API testing, full-site accessibility scans, a chaos mode, and CI/CD integration.
What's different
Test flows are described in plain English instead of maintained as brittle scripts.
Pricing
Starts with 10 free runs.
Best for
Indie SaaS founders and small teams shipping without dedicated QA staff.
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An AI QA layer for AI-generated ('vibe coded') apps that monitors real user sessions, automatically catches bugs, proves each issue with video, and generates a fix ready to paste into your editor.
What to know▼
How it works
Monitors real user sessions in the background, catches bugs automatically, records video proof, and generates a paste-ready fix, without a QA team or test scripts.
Best for
Solo builders, agencies, and small teams shipping AI-generated apps who don't have a dedicated QA team.
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Turns a plain-English test description into verified proof — an AI agent runs the check in your app and records video, annotated screenshots, and the measurement behind every claim, saying so if it can't actually verify something.
What to know▼
How it works
Describe a check in plain English (no selectors or scripts); an AI agent runs it and captures video, annotated screenshots and measurements.
What's different
Works with Slack, Jira, Linear, GitHub and Sentry.
Best for
Dev teams who don't trust a green check without evidence.
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Runs behavioral trials on an AI agent's system prompt to check what it actually does versus what its instructions support.
Watch out · Provides behavioral evidence from named test cases, not formal certification.
What to know▼
How it works
Paste your agent's system prompt or skill file; it runs five inert behavioral trials and separates what the model did from what your instructions actually support.
Watch out
Provides behavioral evidence from named test cases, not formal certification.
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A call-QA tool that scores 100% of sales or support calls against a script, instead of a manual sample, flagging missed phrases and coaching signals on a dashboard.
Free
What to know▼
How it works
Scores every call recording against a script, checking mandatory phrases and script stages (passed/partial/missed), with agent coaching signals on real-time dashboards.
Pricing
300 free minutes on your own recordings, no credit card.
Best for
Call centers wanting full QA coverage instead of manual sampling.
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A keyboard-first issue tracker built for dev teams working alongside AI coding agents, linking to GitHub/GitLab/Gitea and exposing 40+ MCP tools so agents can file and resolve issues.
Free
What to know▼
How it works
A keyboard-first issue tracker with board, list, calendar, and roadmap views that links directly to GitHub, GitLab, and Gitea, catches duplicate reports automatically, and exposes 40+ MCP tools so agents in Cursor or Claude Code can search, file, and resolve issues.
Pricing
Free forever for solo devs; simple seat pricing for teams.
Best for
Dev teams that work alongside AI coding agents and want issue tracking reachable from their agent tools.
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A VS Code AI coding assistant focused on maintaining legacy enterprise codebases without drifting from intent, for professional developer teams rather than a general speed tool.
What to know▼
How it works
A spec-driven AI coding assistant for VS Code that follows a strict Ideate-to-Verify workflow, focused on maintaining legacy enterprise software while keeping code changes aligned with intent.
What's different
Constrains the model to respect a project's global context and catches AI mistakes before they reach the codebase, positioned specifically for legacy enterprise maintenance rather than general-purpose coding speed.
Best for
Professional developer teams maintaining complex legacy enterprise codebases.
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Lets hardware, firmware and software teams define executable hardware behavior so they can start integration work before physical hardware exists, instead of maintaining fragile simulators.
What to know▼
How it works
Lets hardware, firmware and software teams define executable hardware behavior models so they can begin integration and testing work before physical hardware is fabricated.
What's different
Positioned as an alternative to rewriting applications or maintaining fragile simulators for pre-hardware development.
Best for
Engineering teams who need software, firmware and test work to start before physical hardware is available.
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Collects bug reports and feature requests from email, a widget or an API into one place and uses AI to sort duplicates — for founders and small teams tired of scattered feedback.
What to know▼
How it works
Collects bug reports and feature requests from a support email address, an in-app feedback widget, or an API into one unified inbox; AI reads each incoming report, matches it against existing ones to group duplicates into a single ticket, and ranks tickets by urgency and number of affected users.
What's different
Automatically deduplicates and prioritizes scattered feedback instead of leaving teams to manually sort a wall of raw reports.
Best for
Founders and small teams receiving user feedback from multiple scattered sources.
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A tool for building and running automated integration tests across many API types — HTTP, SOAP, databases, message queues and more — for QA and engineering teams, not a hosted API itself.
Watch out · Data is saved offline on your local machine rather than in the cloud.
FreeWorks offline
What to know▼
How it works
A tool for building and running automated integration test cases across many API types — HTTP, SOAP, relational databases (Oracle, SQL Server, PostgreSQL, H2), JMS, FTP(S), SFTP, AMQP, MQTT, IBM MQ and IBM ACE. Includes HTTP stubs/mock servers, data-driven testing, endpoint management and Git-based team collaboration.
What's different
Covers many non-HTTP protocols and database types, not just REST/HTTP APIs.
Pricing
Free.
Best for
QA and engineering teams doing integration, microservices, ESB or SOA testing who need low-code test authoring.
Watch out
Data is saved offline on your local machine rather than in the cloud.
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Generates realistic fake data across 120+ fields and exports to CSV, Excel, JSON, SQL, XML or YAML — a free browser tool for developers testing forms or databases, no signup needed.
FreeNo sign-upCan export my data
What to know▼
How it works
Generates realistic fake data across 120+ fields and 15 templates, exporting to CSV, Excel, JSON, SQL, XML or YAML, running entirely in the browser.
Pricing
Free, no signup.
Best for
Developers who need placeholder data for testing forms or databases without creating an account.
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An open-source desktop browser that gives developers and QA engineers isolated cookie and session tabs for testing multiple user roles at once, instead of juggling multiple browsers or profiles.
Open source
What to know▼
How it works
Every tab has independent cookies, storage and authentication, so admin, manager, customer and other roles can be tested simultaneously in one window.
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An open-source macOS app where AI agents drive iOS simulators or your iPhone to run tests you describe in plain language and report a verdict live. For iOS developers.
Open source
What to know▼
How it works
An open-source macOS app where you describe a test for an iOS app in plain language, and an AI agent drives real iOS simulators or a connected iPhone to run it, returning an evidence-backed pass/fail verdict while you watch live.
What's different
Open source and shows the test running live rather than just returning a final report.
Best for
iOS developers who want AI-driven UI testing without scripting test steps by hand.
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Advisory-first Git hooks that catch workflow mistakes before your first push and suggest the exact safe command — local-only, telemetry-free, open source, for JavaScript/TypeScript.
Tools for catching bugs before release — the short answers
Every number here comes from our own daily check — not from a vendor list.
Tools for catching bugs before release — how many are there?
Tablif is tracking 181 of them. 178 answered our check today, and 2 we couldn't reach — we don't claim those are dead.
Which ones are still maintained?
Tablif knocks on every door once a day and records the answer. 178 of these 181 responded on the latest run, so that number is what "still here" means on this page — not a review score.
Are any of them free?
35 of the live ones say so in their own words, and 14 let you start without making an account. Tablif records the claim the product makes; we don't verify pricing.
Any open-source options?
16 of the live ones on Tablif mention being open source.
What's the newest one?
Growth Audit — Tablif first saw it today.
Did a person actually look at these?
177 of them Tablif opened and read, then wrote a one-line summary in our own words instead of reusing the founder's tagline. The rest carry keyword labels we haven't confirmed by reading yet — and we say so rather than hiding it.
