Ably vs Pieces: Which Is Better in 2026?

Ably is a realtime experience and messaging infrastructure platform that provides the building blocks for adding live, scalable features — like chat, presence, live updates, notifications and data broadcasting — to applications. Building reliable realtime functionality is genuinely hard: it requires maintaining persistent connections, handling scale, guaranteeing message delivery and ordering, and managing the complexities of distributed systems. Ably abstracts all of this into dependable infrastructure delivered through simple APIs, so developers can ship realtime features without building and operating the hard underlying systems themselves.

The platform offers pub/sub messaging, presence (knowing who's online), message history, and guaranteed delivery and ordering, all built to scale to millions of connections with high reliability and low latency across a global network. Developers use Ably to power experiences like live chat, collaborative apps, live sports and finance updates, multiplayer features, IoT data streaming, and realtime notifications — anywhere data needs to move instantly and reliably between servers and many clients. With SDKs across platforms and a focus on dependability (including strong delivery guarantees and uptime), it provides the trustworthy realtime backbone that these features require.

Ably is used by companies and developers that need to add realtime functionality to their products and want robust, scalable infrastructure rather than building and maintaining it in-house. By handling the difficult engineering of realtime messaging at scale — connections, delivery, ordering, presence and global distribution — it lets teams focus on their application features and ship realtime experiences confidently. Its emphasis on reliability and scale makes it suitable for serious, production use where realtime data matters. As users increasingly expect live, collaborative and instantly-updating experiences, dependable realtime infrastructure is increasingly important. For developers and companies that want to build live, scalable realtime features without operating the underlying systems, Ably offers a powerful, reliable and well-regarded solution.

Pieces is an AI productivity tool for developers built around a powerful idea: giving you a persistent, on-device memory of your work so you can capture, organize and recall the code snippets, context and materials you encounter throughout your day. Developers constantly deal with fragments — useful code snippets, error messages, links, commands, conversations — scattered across editors, browsers and chats, and lose enormous time re-finding or reconstructing them. Pieces acts as an intelligent long-term memory that helps you save and instantly retrieve all of it.

The tool lets you capture snippets and context with rich metadata automatically added by AI, then find them again through smart search and AI assistance. But its more ambitious feature is the "Long-Term Memory" copilot, which can passively remember your workflow — what you were working on, what you looked at, what you did — so you can ask it questions later like "what was that solution I found yesterday?" and get answers grounded in your own past activity. This addresses the very real problem of context loss and constant re-orientation that fragments a developer's focus.

Crucially, Pieces emphasizes running AI on-device for privacy, so your code and context stay local, and it integrates across the tools developers use — editors like VS Code and JetBrains, browsers, and more — to fit naturally into existing workflows. It also offers an AI copilot you can chat with about your code and saved materials. This makes it appealing to developers who want to reduce the friction of context switching, retain hard-won knowledge, and have an AI assistant that actually knows what they've been doing. As AI copilots become standard, ones with persistent, personal memory of your work stand out. For developers who want to capture their snippets and context and never lose track of what they did, Pieces offers a thoughtful, privacy-conscious and genuinely useful AI memory.