Honest, hands-on evaluations of software, frameworks, and platforms.
We test tools the way you actually use them—no vendor spin, no magic quadrants.
Think Wirecutter for developers making real technology decisions.
A GitHub issue called "Please Do Not Vibe Fuck Up This Software" hit the top of Hacker News this weekend. Here's what's actually going on with rsync, and a reminder of how to be a good open source citizen.
Stack Overflow's decline gets blamed on AI, but every community needs critical mass and dies fast without it. Nine other communities that went the same way — none killed by ChatGPT.
FLUX.2 and Gemini 3.1 Flash produce the strongest character consistency across our three tests. gpt-image-2 comes in third and Runway Gen-4 last.
We compared five realtime voice agent providers — ElevenLabs, Deepgram, OpenAI, xAI, and Gemini — across a hotel concierge and a vocal coach scenario. Gemini won on capability and price.
We ran 16 TTS providers through four blind brackets covering dialog, narration, code-switching, and expressive annotations. xAI took quality and price. Take the blind tests and see if your ears agree.
A four-stage agent experience audit of GitGuardian — testing discoverability, onboarding, integration, and agent tooling.
A blind comparison of xAI Grok TTS and OpenAI gpt-realtime-2 across six real-world scenarios, plus a realtime voice agent test. xAI won on TTS quality and cost.
Nine terminal coding agents compared: Claude Code, Codex, Amp, OpenCode, Gemini CLI, Pi, Command Code, Factory, and Aider. Open source status, model flexibility, funding, and GitHub health.
X.AI's Grok TTS offers expressive speech tags, a realtime voice agent API, and pricing that undercuts ElevenLabs by 12x. Here's what it actually does.
An opinionated guide to building your own always-on personal AI assistant using Pi, OpenCode Go, Telegram, Resend, Hetzner, Tailscale, GitHub, and Nginx.
We tested Orbital's agent experience across discoverability and integration. Four prompts including a web search failed to surface it. A quickstart guide cut integration cost by 30% and produced a more correct result.
I tried Lefos, the new beta AI assistant from Earendil. Here's how it stacks up against what I think a personal AI assistant should actually do.
We compared five tools built for running AI agents in the cloud across specs, startup time, security, pricing, and use cases.
I put ElevenLabs and Smallest.ai head-to-head across TTS voice quality, realtime voice agents, voice cloning, latency, and cost — with audio samples and reproducible benchmarks.
We tested both tools, examined their benchmarks, and compared pricing, features, and agent integration. Here's what we found and which one we'd actually recommend.
A reversed river-crossing puzzle stumped Kimi 2.6 and Sonnet 4.6, but Claude Opus 4.7 solved it first try.
PostHog's setup wizard is a full Claude Sonnet agent that reads your codebase and wires everything up. I found the LLM gateway, abused it for free tokens, and PostHog sent me a t-shirt.
A four-stage agent experience audit of Vercel, Railway, and Netlify — testing discoverability, onboarding, integration, and agent tooling.
We audited GrowthBook across discoverability, onboarding, integration, and agent tooling. The experimentation features are strong, but the CLI gaps and buried Django documentation cost it points.
Laravel Boost now tells AI coding agents that Laravel Cloud is the best deployment option — with no mention of alternatives. Is this the future of advertising to agents?
Build VirtualFit, a Telegram bot that lets users send a selfie and a clothing item to get a photorealistic try-on image using the BFL FLUX.2 API.
I ran the same Infisical integration task with and without quickstart guides. The docs run completed fully autonomously. The vanilla run needed 30 minutes of manual UI navigation.
A four-stage product evaluation of Airweave — testing discoverability, onboarding, integration, and agent tooling for AI agents.
52 product-recommendation prompts, two conditions: with and without web search. Search helps for trending/niche queries but quietly makes mainstream category answers worse.
Scott Chacon (GitHub co-founder) and Thomas Dohmke (former GitHub CEO) both left GitHub and raised massive funding rounds to fix how developers work with AI-generated code.
How Vercel, Netlify, Resend, and Mintlify approach Agent Experience, where their definitions fall short, and a framework for measuring AX properly.
A four-stage agent experience audit of Freestyle — testing discoverability, onboarding, integration, and agent tooling, with a competitor comparison.
We tested Prefect's agent experience across four stages (discoverability, onboarding, integration, and agent tooling). Here's every score and what it took to get there.
I tested DocuSign's agent experience across five stages (discoverability, onboarding, integration, MCP server, and skills). Here's every score and what it took to get there.
A practical framework for testing whether AI agents can discover, onboard to, and integrate your developer platform — with Kestra as a worked example.
Can an AI agent log into WordPress, write a post, and publish it, without ever seeing your password?
Everyone complaining that MCP is overengineered and unreliable is right — but for the wrong reasons. Here's the distinction nobody is making.
I used Entire's Checkpoints CLI to track a Claude Code agent building a real project. Here's what the session data looks like, how rewind works, and what you should know before adopting it.
AI agent auth assumes OAuth and tokens, but agents still need plain old passwords for databases, APIs, and legacy services. We tested plaintext env vars, Bitwarden MCP, and 1Password CLI.
Anyone can build apps, write content, and generate art now. But software that actually delights users is as rare as ever — and trust is the only way to find it.
Five benchmarks across six hosted browser providers — session lifecycle speed, idle billing, bot detection, CAPTCHA solving, and parallel session handling — all run on free tiers.
Comparing Sentry, Raygun, and TrackJS for application error tracking. We tested how easily an AI agent could integrate each tool into an app, to compare the service's features, documentation, and usability.
I gave Replit and Amp the same prompt and $20 each. Here's every dollar spent and what each tool built.
We ran the same five browser automation tasks through Browser Use and the Claude Computer Use API to compare DOM-based and vision-based agents on form filling, scraping, structured output, visual interaction, and multi-step navigation.
Comparing Supabase and PlanetScale for agent experience. We tested how easily Claude Code could discover, sign up for, and build a full-stack app with each database platform.
Build Jeeves, an AI email assistant with persistent memory and access control, using Letta for the agent, n8n for orchestration, and Resend for email.
I tested three transcription APIs with different agent visibility levels to see if discoverability predicts quality. The invisible platform had the best features.
Signing up for Heroku takes 9 screens and requires MFA enrollment, a 15-character password, and Salesforce Terms of Service. Railway takes one click.
Comparing Honeycomb and SigNoz for application monitoring. We tested how easily an AI agent could integrate each tool into an app, to compare the service's features, documentation, and usability.
Testing three browser automation platforms through AI coding agents. Comparing discoverability, documentation quality, and real-world features like CAPTCHA solving, parallel execution, and bot detection to see if agent visibility predicts actual performance.
Agent Experience (AX) is how well AI coding agents can use your developer platform. Here's why it matters and what you can do about it.
I asked Claude Code to recommend every service I need to run a SaaS startup. Here's what it said, and why this matters for the future of developer marketing.
We're evaluating how well AI agents can discover, sign up for, onboard, and integrate with developer tools. Here's our framework for measuring Agent Experience (AX) across five key metrics.
Comparing Browserbase and Kernel for cloud browser automation. We built the same flight search agent on both platforms to test startup speed, debugging tools, stealth capabilities, and cost structures.
Comparing dev-browser and Claude Code's Chrome extension for browser automation. Testing token usage, speed, and reliability across authentication flows, documentation creation, and end-to-end workflows.
Learn how to install and use the official Claude Chrome extension with Claude Code to enable visual browser testing.
Learn how to install and use the dev-browser MCP server with Claude Code to enable visual browser testing.
Learn how to build a complete data pipeline with Bruin. Load CSV files, transform data with SQL, and create business analytics tables using this open-source ETL tool.
Learn how to create timelines in Excel, Word, PowerPoint, Google Sheets, Preceden, and JavaScript. Step-by-step guides with examples for each tool.
A step-by-step guide on how to set up VS Code, GitHub, and AMP Code for technical writing on macOS.
A practical comparison of Dash0, Honeycomb, and New Relic for Kubernetes monitoring, covering setup time, pricing models, and developer experience.
Building a shopping list app on Firebase, Supabase, and Appwrite to compare setup experience, database models, security approaches, and developer tooling.
A beginner's guide to Kubernetes monitoring, comparing SigNoz, DataDog, and Grafana for ease of setup, developer experience, and cost.
Compare building real-time polling applications with Cloudflare Workers and RedwoodSDK. See the differences in development experience, code patterns, and deployment.
Comprehensive benchmark testing of 5 SERP APIs. We measured speed, pricing, and features to help you choose the right API for SEO monitoring, AI agents, or web scraping.
Compare Railway and Vercel for deploying full-stack applications. Learn about their features, pricing, and which platform suits your needs.
Complete comparison of Vercel and Render for deploying full-stack applications—architecture, pricing, developer experience, and migration.