Meta tags:
description=AI-native engineering orgs are built on AI-native knowledge infrastructure. Dosu maintains the documentation, specs, and memory your agents need to ship faster, cost less, and stay correct at enterprise scale.;
author=Dosu, Inc.;
keywords=dosu,dosu bot,dosubot,knowledge infrastructure,knowledge infra,context layer,AI documentation generation,automated documentation,living documentation,knowledge management platform,developer documentation tools,documentation drift,AI knowledge base,internal documentation,MCP server documentation,code documentation automation,documentation maintenance,AI developer platform;

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Text of the page (random words):
dosu for enterprises pricing case studies solutions dosu for agents dosu for individuals dosu for startups dosu for enterprises blog docs book a demo go to app open main menu dosu for enterprises ai native engineering orgs are built on ai native knowledge infrastructure when your agents have the right context they run faster cost less and build correctly the first time and when that knowledge is accessible to every team product qa support leadership the entire organization operates at ai speed not just engineering the knowledge layer your ai agents are missing dosu shortens that path dramatically when you install dosu it evaluates how ai ready your organization actually is do you have agent friendly specs skills documentation architecture docs searchable indexes and surfaces immediate actions it can take to close the gaps days not quarters you stay in control of what your agents know how they behave and where they pull context from dosu builds and maintains the knowledge layer your team builds the product langchain hashicorp dify 200 000 engineers use dosu to manage their knowledge bases what dosu does for enterprises auto generate and maintain living documentation dosu connects to github jira slack confluence and notion and builds documentation for you when code changes docs change no documentation sprints no drift make your ai tool investment pay off copilot cursor and other coding agents are only as fast as the context they have dosu feeds them current structured knowledge making them 2x faster and cutting token usage by 50 cut onboarding time from days to hours new engineers typically spend up to 5 days getting enough context to contribute with dosu that drops to under 5 hours whether you have 50 engineers or 5 000 confluence github jira notion slack works with the tools your team already uses dosu plugs into your existing engineering stack in minutes no ripping and replacing the tools your team depends on see where ai is working and where it isn t most enterprise teams adopt ai tools and hope for the best dosu gives you the visibility to actually manage it agent performance see which agents are producing consistent results which are struggling and where context gaps are causing failures across every team in your org knowledge bottlenecks identify which systems lack documentation coverage and where engineers and agents are asking the same questions repeatedly invest in the right context instead of guessing adoption and roi track which teams are getting the most value with ai native analytics measure token savings and time to contribution and report to leadership with concrete data control what your agents know you decide what knowledge flows where which teams which agents which systems how does auth work in this repo i need to add a new oauth provider auth was recently migrated to oauth2 with pkce in pr 847 the entry point is src auth provider ts which handles token exchange to add a new provider oauth2 js 1 src auth providers newprovider ts 2 export const newprovider createoauthprovider 3 clientid process env new_provider_id scopes read 4 write tokenendpoint oauth token note the old jwt flow in legacy jwt ts was deleted all new providers must use pkce no implicit flow per team decision in 1180 pulled from dosu 6 sources pr 847 migrate auth to oauth agents md auth provider pattern 1180 require pkce for all providers src auth provider ts src auth middleware ts auth architecture md token flow docs ask anything frequently asked questions dosu can answer questions or update context from wherever you happen to be terminal ide browser github with full knowledge of your code specs docs issues and open source dependencies how long does it take to get dosu set up most enterprise teams are fully onboarded within a day dosu connects to your existing tools and begins indexing immediately no migration no new infrastructure required does dosu replace our existing documentation tools no dosu works alongside confluence notion and github reading from and writing to the tools your team already uses you keep your existing stack dosu keeps it accurate how do we measure roi dosu s analytics dashboard tracks agent performance knowledge coverage token savings and time to contribution for new engineers giving you concrete data to report on not estimates can we control what knowledge agents have access to yes dosu s rbac and ai governance controls let you define exactly what knowledge is available to which agents and which teams how does dosu work with copilot cursor and other ai tools dosu maintains the structured documentation and context layer that these tools consume better context in means better output out regardless of which ai coding tool your team uses can we start with a specific team before rolling out org wide yes most enterprise customers start with a single integration typically github or confluence and expand from there ready to fix your documentation problem at scale book a demo and we ll show you how dosu works inside your specific stack or start with a free trial if you d like to explore on your own first book a demo try free building with ️ from sf 1841 market st san francisco ca 94103 product for individuals for agents for teams for oss pricing company about careers contact us