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description=One agent for your entire Software Development Lifecycle. Right in Slack.;
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Text of the page (random words):
v vars but accidentally included a terraform change to the scaling config marcus j 2 43 am just saw the page nadia you need a hand nadia k 2 43 am coderabbit already found it accidental scaling change in 3301 coderabbit open a revert for just the scaling config don t touch the env var update coderabbit 2 44 am done pr 3315 opened fix revert inventory service maxinstances to 12 isolated just the scaling revert the env var update from 3301 is untouched once merged cloud run will scale back up within 90 seconds marcus j 2 45 am merging nadia watch the dashboard nadia k 2 47 am latency dropping back under 500ms we re good marcus j 2 48 am coderabbit draft a postmortem and file it sev 2 coderabbit 2 48 am done eng 4120 created in linear sev 2 postmortem inventory service scaling regression with timeline root cause and remediation linked to pr 3301 and pr 3315 threads huddles channels eng backend eng incidents eng builds eng support add channels apps github notion linear add apps eng incidents datadog 2 38 am alert checkout service p99 latency 10s checkout service p99 latency spiked from 380ms to 12 4s at 02 38 utc nadia k 2 41 am coderabbit pull the datadog traces for checkout service and figure out where the bottleneck is coderabbit 2 41 am pulled apm traces since 02 15 utc every slow trace is stuck on the same downstream call post api inventory reserve to inventory service checked gcp cloud run logs for inventory service instance count dropped from 8 to 1 at 02 35 utc autoscaler shows a config change pushed at 02 34 utc that set maxinstances to 1 that came from pr 3301 merged earlier tonight it was supposed to update env vars but accidentally included a terraform change to the scaling config marcus j 2 43 am just saw the page nadia you need a hand nadia k 2 43 am coderabbit already found it accidental scaling change in 3301 coderabbit open a revert for just the scaling config don t touch the env var update coderabbit 2 44 am done pr 3315 opened fix revert inventory service maxinstances to 12 isolated just the scaling revert the env var update from 3301 is untouched once merged cloud run will scale back up within 90 seconds marcus j 2 45 am merging nadia watch the dashboard nadia k 2 47 am latency dropping back under 500ms we re good marcus j 2 48 am coderabbit draft a postmortem and file it sev 2 coderabbit 2 48 am done eng 4120 created in linear sev 2 postmortem inventory service scaling regression with timeline root cause and remediation linked to pr 3301 and pr 3315 from the team that pioneered ai code reviews trusted by 15 000 engineering teams worldwide code reviews every week 2m repos under review 6m customers 15k engineering decisions happen in conversation blockers surface in slack context gets lost in threads your ai should be part of the team not a separate tool someone has to remember to check c o n n e c t o r s connect your stack get answers in slack the agent reaches into your tools jira sentry linear datadog and more to fetch context surface insights and take action all without leaving slack monitoring project tracking knowledge design support sentry datadog pagerduty circleci aws posthog monitoring sentry datadog pagerduty circleci aws posthog project tracking jira linear asana knowledge github notion google drive design figma canva support hubspot intercom zendesk gong pylon prod alerts debug the failure sentry app 10 42 am checkout charge error rate 0 4 7 1 since 02 08 utc c o d e r a b b i t a g e n t f o r s l a c k built for agentic sdlc workflows context your org s operating context the agent pulls your org s context together across every tool and team conversation into one place code the repo recent changes and opened prs tickets jira linear or wherever your team tracks work docs notion pages confluence wikis internal runbooks monitoring datadog posthog sentry your observability stack cloud aws gcp and the infra that runs under it all r e p o s i t o r i e s 4 8 2 8 3 o p e n p r s 3 1 r e c e n t c h a n g e s r e p o s i t o r i e s 4 8 2 8 3 o p e n p r s 3 1 r e c e n t c h a n g e s your org s operating context the agent pulls your org s context together across every tool and team conversation into one place code the repo recent changes and opened prs tickets jira linear or wherever your team tracks work docs notion pages confluence wikis internal runbooks monitoring datadog posthog sentry your observability stack cloud aws gcp and the infra that runs under it all memory a living memory of your team the agent builds a knowledge base from slack and your systems decisions fixes and patterns are captured as they happen and refined through daily use so it reflects how your team actually works team knowledge org wide know how shared across teams channels and repos channel memory retains team specific patterns runbooks and conventions thread memory carries forward everything from the current task a living memory of your team the agent builds a knowledge base from slack and your systems decisions fixes and patterns are captured as they happen and refined through daily use so it reflects how your team actually works team knowledge org wide know how shared across teams channels and repos channel memory retains team specific patterns runbooks and conventions thread memory carries forward everything from the current task multi player built for team collaboration work happens in slack the agent works in a shared thread alongside your team anyone can guide contribute and move tasks forward it learns from team conversations and stays aligned as work evolves synchronous the agent lives in the slack thread steerable redirect or expand the work mid task resumable stop switch devices come back tomorrow built for team collaboration work happens in slack the agent works in a shared thread alongside your team anyone can guide contribute and move tasks forward it learns from team conversations and stays aligned as work evolves synchronous the agent lives in the slack thread steerable redirect or expand the work mid task resumable stop switch devices come back tomorrow governance guardrails in place access knowledge and spend scoped to the channel and user every run is explainable and attributed so you see what the agent did for whom and what it cost access scoped to who you are and what you do knowledge scoped to the channel where it belongs tool control decide which integrations are available where cost control attributed by team and channel not individual keys guardrails in place access knowledge and spend scoped to the channel and user every run is explainable and attributed so you see what the agent did for whom and what it cost access scoped to who you are and what you do knowledge scoped to the channel where it belongs tool control decide which integrations are available where cost control attributed by team and channel not individual keys c u s t o m i z e d built into the agent add skill files and custom sandboxes to suit your needs your agent s skills custom sandboxes t r i g g e r s a u t o m a t i o n s work that completes on its own pr summaries review comments and decision artifacts show up in your channels without you having to chase them engineering standup daily 9 25 am coderabbit 9 25 am yesterday s merges auth service jwt refresh ahmad dashboard chart performance maya payments retry logic carlos blocked tickets jira 1234 missing design approval jira 1456 waiting on infra team overnight sentry 2 new issues payment timeout 12 today s deploys 14 00 utc api gateway v2 4 1 scheduled dev every hour prs idle 24h coderabbit 10 00 am found 2 stale prs in need of attention 847 26h 142 3 comments add rate limiting to public api sarah mike awaiting security review 851 31h 89 7 comments migrate legacy auth endpoints chen alex test failures on ci on signal see how it works typical ai pricing input tokens 3 00 m output tokens 15 00 m model tier multiplier 1 5 tool calls per call context window surcharge tiered your bill unpredictable coderabbit active agent minutes 0 50 min your bill minutes rate the math 0 50 minute is roughly 30 hour a fraction of what a senior engineer costs except this one runs in parallel overnight and on demand pay for time not tokens most ai tools bill you across a moving target model tier token count tool calls context size you can t forecast it and your finance team hates it coderabbit charges one thing the seconds an agent is actively working at 0 50 minute that s roughly 30 hour a bargain compared to what a senior engineer costs except the agent runs in parallel overnight and on demand we meter every run down to the second and sum it across your team for the billing period that s the whole model typical ai pricing input tokens 3 00 m output tokens 15 00 m model tier multiplier 1 5 tool calls per call context window surcharge tiered your bill unpredictable coderabbit active agent minutes 0 50 min your bill minutes rate the math 0 50 minute is roughly 30 hour a fraction of what a senior engineer costs except this one runs in parallel overnight and on demand faq what is coderabbit agent for slack coderabbit agent for slack is built for agentic sdlc workflows it pulls your org s operating context together from across every tool and team conversation code tickets docs monitoring cloud and reasons over it to move work forward in the channel or thread where it s already happening it investigates plans opens prs captures team knowledge and keeps everyone aligned as work evolves what is agentic sdlc agentic sdlc is a software delivery practice where ai agents participate meaningfully across the complete software development lifecycle planning requirement analysis design coding testing deployment and maintenance instead of your team bouncing between point tools the coderabbit agent works alongside you carrying context across phases taking action on your behalf capturing what the team learns and staying accountable for its actions what agentic sdlc actually needs to effectively implement the agentic software development lifecycle sdlc you need four key elements a clear context of your organization s operations across code issue trackers and tools a long term durable team knowledge support for collaboration in existing communication channels and proper governance with scoped access to tools and spend controls how to start using coderabbit agent for slack sign in with slack to establish the workspace identity then connect github by linking your slack workspace to the github org install the coderabbit github app to grant repository access optionally you can edit the base scope the default repositories connections and spend baseline for the workspace finally start using coderabbit agent for slack just mention coderabbit in any channel or dm what tools does it integrate with coderabbit agent for slack connects with all the sdlc tools such as jira linear notion asana intercom zendesk aws datadog circleci posthog sentry pagerduty figma canva google drive gong pylon onedrive and hubspot you can also plug in your own through mcp servers and apis what are agent minutes and how does pricing work for this product agent minutes are the amount of active coderabbit runtime spent completing a task the runtime measures elapsed sandbox time from command start to run finish and bills for minutes used can i control what the coderabbit agent can access governance is integrated through scopes which define everything the agent can do in a given context accessible repositories usable connections user groups and users authorized to invoke it and applicable spend limits every workspace starts with a default base scope and additional scopes can be created that inherit from it and impose narrower restrictions how does knowledge base work with coderabbit agent for slack the knowledge base stores durable facts that it learned by working with your team knowledge respects slack s privacy boundaries so public channels and shared surfaces use the global workspace knowledge base private channels use a private conversation knowledge base while dms and group dms use a private conversation knowledge base how can i monitor the usage of coderabbit agent for slack just go to the usage tab of your coderabbit agent for slack dashboard and monitor it from there who can use and manage it coderabbit agent for slack responds only to workspace members external users guests are blocked by default and channels marked as externally shared are fully unsupported for now you can set up roles using the workspace users section in your settings currently you can pick between primary user coderabbit admin and scope admin which requires a custom scope where can i find more technical guidance regarding coderabbit agent for slack the most effective resource that will allow you to grasp all the technical concepts around coderabbit agent for slack would be our docs i already use coderabbit for code review is this the same thing code review runs automatically on your pull requests coderabbit agent for slack is built for agentic sdlc workflows it lives in the channel or thread where your team already works pulls your org s operating context from across code tickets docs monitoring cloud and reasons over it to investigate plan open prs and carry your team s knowledge forward all within guardrails you control the two products share the same underlying engine does this replace my engineers coderabbit agent for slack is designed to amplify your team not replace it it remembers what your team knows handles the repeatable work and surfaces context so engineers can focus on the hard decisions your team steers the agent in real time reviews its work and makes the calls that matter the hard parts of engineering stay with the engineers try it today one agent for your entire software development lifecycle right in slack try for free get 50 user free agent minutes products agent discord pull request reviews ide reviews cli reviews plan oss navigation about us features faq system status careers dpa startup program vulnerability disclosure resources blog docs changelog case studies trust center brand guidelines reports guides contact support sales pricing partnerships subscribe by signing up you agree to our terms of use and authorize coderabbit to provide occasional updates about products and solutions you understand that you can opt out at any time and that your data will be handled in accordance with coderabbit privacy policy select language english 日本語 terms of service privacy policy coderabbit inc 2026 products agent discord pull request reviews ide reviews cli reviews plan oss navigation about us features faq system status careers dpa startup program vulnerability disclosure resources blog docs changelog case studies trust center brand guidelines reports guides contact support sales pricing partnerships select language english 日本語 subscribe by signing up you agree to our terms of use and authorize coderabbit to provide occasional 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