Unblocked

Unblocked is a context layer for AI coding agents. It pulls from code, conversations, issues, docs and production systems, then ranks and reconciles those sources so agents can finish engineering tasks with less human correction.

Unblocked is a context layer built for agentic software development. The premise is narrow and specific: coding agents already read a repository well, but they fall short when a task depends on information that lives outside the code, such as conversations, tickets, documentation, product decisions and production systems. Unblocked collects those sources and reasons across them so an agent can answer a task with the material that actually matters instead of whatever text it happened to retrieve. The product positions itself against two common substitutes. Static markdown files go stale as soon as the codebase moves, and MCP servers expose individual systems one at a time without resolving contradictions between them. Unblocked argues that volume of context is not the bottleneck; the bottleneck is knowing which source to trust, which detail is the most recent, and which fact is relevant to the ticket at hand. That ranking and conflict resolution is the core of the offering. The tool suits engineering teams already running agents such as code assistants and autonomous issue solvers, particularly organizations with sprawling toolchains where institutional knowledge is spread across chat, issue trackers, docs and infrastructure. Unblocked publishes customer stories from companies including Webflow, Rally and RB Global, alongside outcome pages focused on token savings and reduced rework, which suggests the buying case is framed around agent efficiency rather than developer experience. Adoption starts from a free sign-up in the dashboard, with a demo available for teams that want a walkthrough before connecting systems. Security documentation is published separately, which is the right move for a product that touches source code, internal conversations and production data. The tradeoff is scope: this is infrastructure for teams running agents at volume, not a general writing or productivity assistant, and the value depends heavily on how much of a team's knowledge actually lives in connected systems.