Developers
Last updated: January 12, 2026
Ship faster with AI coding, debugging, docs, testing, and automation tools built for modern developer workflows.
Cursor: Edit code with agentic chat inside your repo
AI-native code editor with repo-aware chat, quick fixes, and multi-file edits—built for fast iteration on real projects.
"Best ‘chat + edit’ flow—handles multi-file changes in a way IDE plugins can’t."
"The new king. 'Composer' edits multiple files at once. Not just autocomplete; an agent that actually architects apps."
"Excellent codebase awareness with fast iteration. Strong for refactoring; higher cost and model dependency considerations."
"Agentic editing with multi-file awareness; choose for rapid project iteration and complex refactors."
Resend: Receive inbound email and turn replies into webhook events
Developer email platform with inbound receiving: route emails and attachments to your endpoint as parsed payloads, so agents can triage, extract data, and respond.
"Developer-first email API; Inbound turns incoming mail into JSON webhooks fast—though inbound is still early access."
"Best-in-class developer experience. While primarily for sending, its Inbound Webhooks are reliable and clean for piping emails into AI agents."
"Modern email API with React templating and sub-second delivery. Exceptional DX and 99%+ deliverability. Sending-focused, not parsing. Best for dev teams."
"Rated 3 due to excellent sending reliability but weak parsing features for AI workflows; pick for developer-friendly SDKs and high deliverability if focus is outbound emails."
Retell AI: Build, test, and monitor voice agents at scale
Voice agent platform with tooling for building, evaluating, and deploying phone agents—good for teams shipping fast.
"Best builder tooling—easy to test, deploy, and monitor production voice agents."
"Best dev experience. Latency is ultra-low. The dashboard for debugging calls is fantastic. Perfect for building custom phone agents."
"Developer-friendly voice agent API with low latency. Excellent for custom builds; requires technical implementation."
"Ultra-low latency API; choose for scalable custom agents with robust testing and monitoring tools."
Databricks: Run AI-assisted analytics on big data
Lakehouse platform for data engineering + analytics with AI assistants—ideal when you need scale, notebooks, and production pipelines.
"Best for scale—AI-assisted notebooks + pipelines when your data is big and messy."
"For engineers, not marketers. Assistant for SQL/Python notebooks is top-tier. Reduces boilerplate, but requires technical skill."
"Unified lakehouse platform with AI/ML capabilities. Best for data teams; significant complexity for simple analytics needs."
"AI-aided big data notebooks; pick for engineering teams handling large-scale pipelines."
Perplexity: Research the web with sources and follow-ups
Fast research assistant with sourced answers and deep follow-up—great for exploring topics and collecting references.
"Best for rapid discovery—source-linked answers make it easy to verify and dig deeper."
"The best generalist researcher. 'Pro' search digs deep. Not strictly academic, but finds better sources than Google 100% of the time."
"Best general research assistant with web citations. Versatile beyond academia; verify sources for scholarly rigor."
"Sourced answers with deep search; choose for versatile, verifiable research beyond academia with excellent citations."