Developer Tools

CloudBurn is built for teams using Terraform or AWS CDK who want to prevent expensive infrastructure mistakes before they reach production. Most teams only discover AWS cost problems weeks late when the bill arrives and the infrastructure is already running. By then, the money is spent and fixing the issue is painful. CloudBurn changes this by bringing AWS cost visibility into code review, when changes are still easy to make. How it works: A developer opens a pull request with infrastructure changes in Terraform or AWS CDK CloudBurn automatically analyzes the changes using real-time AWS pricing A cost report is posted directly in the pull request, showing the monthly cost impact of each change The team reviews costs alongside code and adjusts before deployment What you get: Automatic cost analysis for every infrastructure pull request Real-time AWS pricing for your specific region Resource-level breakdowns showing old vs. new monthly costs Stop optimizing reactively. Catch costly de

BestBoilerplates.com is a curated directory and comparison site for SaaS boilerplates and starter kits — pre-built codebases developers can use to jump-start a web app or software project instead of building everything from scratch. The site collects dozens of boilerplates across different languages and frameworks (like Next.js, React, Laravel, Django, and more) and lets you compare them by features, tech stack, price, and other details so you can find the right foundation for your project. Most boilerplates listed include common SaaS functionality such as authentication, payment and subscription handling, admin panels, dashboards, and UI components. By using these starter kits, developers — whether solo makers, startups, or small teams — can save lots of time and focus on building the unique parts of their product instead of re-creating the same basic features. The site also explains what boilerplates are and how to choose the best one, acting as both a resource and decision-making

A calm, curated directory of open-source AI projects and tools. Focused on signal-first repos worth revisiting, it surfaces frameworks, models, tooling, agents, and infrastructure. Browse featured picks, explore categories, submit projects, and jump to GitHub. Built deliberately quiet and updated continuously for practical discovery. Key features Curated directory of 700+ open-source AI projects and tools. Organized by frameworks, models, tooling, agents, and infrastructure. Signal-first featured picks updated continuously from notable GitHub repos. Browse projects, submit entries, and explore focused categories easily. Includes links to GitHub, social, and contact email for connection.

Traditional E2E testing is the ultimate bottleneck. Frameworks like Selenium and Cypress require complex boilerplate, constant maintenance, and local infrastructure setup. For fast-moving teams, this means shipping bugs or slowing down releases. Mechasm.ai transforms QA by allowing you to create and run automated tests using plain English. How it works: Describe: Write your test steps in natural language (e.g., "Login, add item to cart, and checkout"). Execute: Our AI translates intent into robust scripts and runs them instantly in the cloud. Scale: Integrate with your CI/CD pipeline for automated regression on every push. Why teams choose Mechasm.ai: Zero Setup: No drivers or local environments to manage. Self-Healing: AI-driven element recognition reduces flaky tests by 80%. Unlimited Collaboration: Our Scale plan removes "per-seat" barriers so the whole team can contribute to quality. Stop debugging tests. Start securing your product. Visit: https://mechasm.ai

Stop wasting hours typing long prompts into ChatGPT, Cursor, and Slack. Just press the Fn key, speak naturally, and watch perfectly formatted text appear instantly - in any app, anywhere on your Mac. The problem we all face: The average person spends 3+ hours daily typing into AI tools. Whether you're coding with Cursor, chatting with ChatGPT, or messaging on Slack, you're typing the same context over and over. It's exhausting. How Blip AI works: Press Fn → Speak your thoughts → Text appears instantly at your cursor. That's it. No copy-paste. No app switching. Just natural conversation turned into perfect text. Perfect for: Developers using Cursor or VS Code (code faster than you can type) ChatGPT power users (explain complex ideas without typing essays) Anyone tired of typing the same things repeatedly Why people love it: "I saved 3 hours yesterday alone. Can't code without it anymore." - Microsoft engineer Ready to type with your voice? Download free and see why 2000+ developers

dislike404.com is a free website monitoring service that automatically and regularly checks websites for technical problems. These include HTTP errors such as 404 or 500, connection issues, loading and availability errors. Users can register, add their websites, and will be notified of detected issues by email according to their preferences. The goal is to identify errors early, before they negatively impact visitors or search engines.

Ark is the email API built for AI-first developers. Native MCP server with 26 tools lets Claude, Cursor, Windsurf, and Claude Code send emails through natural language — no wrapper code needed. AI-readable docs cut token usage by 10x. Integrates seamlessly with your stack: Supabase edge functions, n8n workflows, Vercel serverless, or any automation pipeline. SDKs for Python, Node.js, Ruby, and Go. Full SMTP relay for self-hosted tools like Listmonk, Coolify, and Metabase. 99.9% deliverability. Sub-second delivery. Automatic SPF, DKIM, and DMARC. Real-time webhooks for delivery, opens, clicks, and bounces. Simple pricing: $0.50 per 1,000 emails. No tiers, no enterprise sales calls. Start free with $5 in credits. Built for developers who ship with AI, automate with code, and don't want to think about email infrastructure.

DropForm is a lightweight, headless backend that lets you collect form submissions without writing a single line of server-side code. Designed for developers and static sites, it eliminates the need for a backend—just point your HTML or JavaScript form to your unique DropForm endpoint and you’re ready to go. • Setup in Seconds: No servers, no SDKs, and no maintenance required. • Total Integration: Automatically send data to Slack, Google Sheets, Airtable, or Webhooks. • Built-in Protection: Stay clean with automated spam filtering and secure file uploads. • Privacy First: Fully GDPR/CCPA compliant and hosted in the EU. One endpoint. Any frontend. Zero backend hassle. Get started for free at DropForm.app.

BitDive turns real JVM behavior into deterministic verification. It captures real executions in Java, Kotlin, and Spring, down to method calls, parameters, results, exceptions, and SQL. Then it generates Maven and JUnit replay tests from those executions, so teams run regression suites in the same workflow they already trust. The key difference is isolation without maintenance. BitDive auto mocks dependencies like DB, Kafka, gRPC, and downstream HTTP APIs from observed interactions, so you do not hand craft stubs or keep them in sync with refactors. Failures come with full white box traces, showing exactly where behavior changed and why. For AI native workflows, BitDive streams method level runtime context via MCP. That gives agents the ability to self verify code changes by replaying before and after behavior on real scenarios and comparing results and traces.

Mermaid Kit is a developer-focused online tool for creating and editing Mermaid diagrams. It is designed to make technical diagramming faster and more practical by fitting naturally into engineering workflows. Many engineers rely on diagrams to explain system architecture, request flows, and service dependencies, but traditional visual diagramming tools often slow them down. Mermaid Kit provides a single workspace where users can write Mermaid code and preview diagrams instantly, without switching tools or dealing with heavy UI overhead. To reduce setup and syntax friction, Mermaid Kit includes AI-assisted generation that turns short text descriptions into editable Mermaid diagrams. These diagrams are intended to be valid, reusable, and suitable for real technical documentation rather than one-off demos.