FAQs

Getting started with Conductr is quick and easy. You can signup and follow our in-platform onboarding or if you would like help, send us a message here and one of our team members who can assist you.

Conductr integrates seamlessly with any CI/CD pipeline using webhooks. Simply configure the webhook to trigger after a successful build.

No. Conductr supports C#, JavaScript, Node.js, and Python, and it can integrate with other languages via REST API. Simply install the Conductr package and start sending logs.

Conductr Application Productivity Suite helps reduce technical debt by reallocating the time a developer spends on finding and resolving errors with the help of Developer and Team Velocity Dashboard, streamline triage process and error resolution with Auto Triage, have a centralized source of truth with AI Knowledge Engine, and stay on top of ongoing work and team highlights with Automatic Daily Insights.

Conductr Application Productivity Suite helps the team reduce technical debt. Conductr.ai can augment your code quality tools and refactoring efforts. You can catch errors in development environments and the whole team can collaborate on fixing them. It can also track recurring issues and problematic parts of the code using Root Cause Agent. Dev and Team Velocity dashboards to verify that the team is releasing small, incremental changes regularly and avoiding large-scale, mega-releases. The AI Knowledge Engine keeps documentation clear, accessible and comprehensive.

Conductr AI is designed to detect critical errors earlier in the development cycle, preventing them from reaching production with Root Cause Agent. You will get notified about errors in your CI/CD environments as they occur in real-time. This way, you can ensure that none of the errors detected and resolved in your QA or UAT environment will make their way into production.

No code modification is required. You can start sending error logs by installing our logger/package, adding the configuration to your app's settings, and we'll be monitoring your application within a couple of minutes. It’s that easy!

Once Conductr AI is integrated, you will get a notification via your channel of choice. We support Slack, Microsoft Teams, email, and any integration using webhooks. You can also when an error happens through the RCA for VS Code Extension. As you code, RCA will be integrated to your IDE.

Yes. Conductr AI can help enterprise teams increase their effectiveness and efficiency by detecting, diagnosing, and resolving critical errors early on in the software development lifecycle of a web application or service. Another significant advantage for enterprise teams is Conductr AI’s ability to highlight experience gaps and provide insights into what tickets and stories need attention from software development managers.

Yes. Conductr AI helps to streamline personal workflow for developers and consultants. Many of our earliest users have been freelancers and consultants who face pain points about manual, laborious work. If you often find yourself buried in log files, Conductr AI was built with you in mind.

Yes. Conductr AI can help small software development teams spend less time resolving errors and more time building business-critical features. Another benefit of using Conductr AI in your software development lifecycle is its ability to highlight inefficiencies with ticket and story distribution and detect errors early on local development machines.

Yes, that’s exactly what Conductr AI is built for. Our platform uses advanced AI and machine learning to automatically bucket related errors together, helping you cut through the noise by bucketing errors. Bucketing errors is key in providing a single root cause instead of sifting through hundreds of individual error messages. You’ll see a single root cause and how it propagates across environments in your CI/CD pipeline. Conductr AI also tracks errors across different development environments from dev to staging to production and instantly flags any new, previously unseen issues. This gives you instant clarity so you can focus on fixing the real issue.

Not at all. One of the strengths of Conductr AI is that it works alongside your existing monitoring tools. You can continue using the tools your team already knows and loves.

We support all major CI/CD systems, ensuring seamless integration with your existing DevOps workflows.

Conductr AI supports Serilog, NLog, and log4net out of the box.

We currently support .NET, Javascript, NodeJS, Python, and all other languages via REST client.

We integrate with Jira, Azure DevOps, Asana, Trello, and others via ticket import.

Conductr is an agent management and deep application insight for continuous delivery. It brings applications, AI agents, and engineering workflows into a single, observable platform. It combines deep application insights, agent observability, developer productivity engineering, and flexible extensibility.

Conductr’s Root Cause Agent helps devs and teams to detect and resolve issues faster, reduce noise from duplicate errors, and keep shipping code confidently. It instantly detects new errors as it happens, group errors based on root cause and provide single pane of glass view across environments.

Root Cause Agent determines the root cause of the error by first looking at the error stack trace. It then buckets the errors and then add similar errors to that bucket. A summary is also generated to give you a more insightful easier to digest insight.

Yes, Conductr provides a single pane of glass view of error propagation across all your environments even local developer enviromnents.

Yes, RCA works across the entire stack and you can have multiple languages in a single Conductr Project.

Yes, RCA is always monitoring your application. When you push a new build, Conductr knows your application code has changed and will alert you to any new or existing errors that continue to happen.

Conductr unifies your workflow and eliminates context-switching. You have visibility where errors have occurred directly in your editor and even generate a prompt to quickly fix the issue right in your IDE. Once you install the VS Code extension you get Conductr’s powerful Root Cause Agent directly in your IDE.

Conductr’s Root Cause Agent for VS Code is an extensiblity feature where Root Cause Agent capabilities are available in the IDE through an extension. Devs can get orchestration, diagnostics, and code fixes all in one workflow from Root Cause Agent embedded directly in your IDE with Conductr extension.

Conductr’s Auto Triage streamlines the triage process and error resolution by instantly creating bug tickets complete with stack trace, environment data, and fix-ready context as errors occur so developers can get to work immediately. It accelerates error resolutions, provides smart error prioritization through instant creation of bug tickets

When Conductr sees a new error, it creates a bug ticket immediately on the users board.

Yes. Auto‑Triage automatically creates a single bug ticket when an error is detected. As the error propagates across environments, the same ticket is updated with comments, ensuring all occurrences are tracked in one place without duplicates.

Auto-triaged bug tickets include root cause, when the error was first detected and which environment, its local impact and stack trace.

Yes, Conductr will update the ticket with a comment if the error has propagated to a new environment. An updated list of error counts across all environments will also be added.

Conductr’s Developer Dashboard supercharges developer stats by integrating developer activity signals from Jira, Asana, Trello, Azure DevOps ticketing systems to build digestible, visual, and shareable reports. From this dashboard, team leaders can unlock intelligence from dev activity, surface dev strengths and technical focus for a more productive performance review, optimize developer workflow with insights.

The Developer Dashboard provides visibility into both ticket activity and team performance. It surfaces: • Tickets currently being worked on, along with their priority • Ticket types (e.g., bug, feature, enhancement) • Business areas assigned to each developer • Average time spent in each development stage • Ticket summaries and progress updates

Velocity metrics are currently broken down by environments, providing insight into performance across different deployment contexts.

Yes. It highlights errors discovered such as PII, infrastructure secret and exceptions compared to previous period, deployments, average time spent per dev stage, ticket activities and summaries.

Velocity metrics are currently broken down by environments, providing insight into performance across different deployment contexts.

Yes. It highlights errors discovered such as PII, infrastructure secret and exceptions compared to previous period, deployments, average time spent per dev stage, ticket activities and summaries.

Conductr’s Team Velocity Dashboard is an AI-powered command centre for continuous dev cycle optimization and faster, more reliable delivery. It can measure error spikes and deployment stability, understand team focus and delivery trends and spot blockers to gain more velocity momentum.

Coductr’s Automatic Daily Standup turns standups into strategic discussions with AI-driven insights on focus areas and potential issues, automatically generated and delivered.

The Daily Standup Summary captures both individual ticket updates and broader team highlights. It includes: • Tickets each developer is currently working on • Completed tickets and progress updates • Team focus areas and priorities • Blockers, warnings, and potential red flags that may impact customers or dependencies

Yes. The Daily Standup Summary automatically includes updates from tickets. All developer activities recorded in the ticketing system connected to Conductr are captured and reflected in the summary

Daily Standup summaries can be delivered to Slack, Microsoft Teams, email, or any other connected platform.

Conductr Agent Observability monitor every agent execution with granular metrics like start time, cost, curation, environment, builds, session IDs, and status. With full operational transparency, teams can quickly pinpoint issues, optimize performance, and keep agent behavior predictable at scale.

Conductr Agent Observability supports all types of agents built with Railtracks.

Conductr Agent Management Suite delivers complete visibility, secure integrations, and rigorous performance evaluation for every AI agent. Each run has full transparency, centralized authentication, logging across all connected systems, and deep insight into agent decision-making, teams can operate agents with confidence, control, and measurable efficiency at scale.

Conductr Enterprise Connectors seamlessly integrates agents to tools like Slack, Jira, and internal platforms through a single, secure integration layer. All cross-system calls are authenticated, managed, logged, and fully observable giving teams a unified view of agent-driven workflows across the stack.

Conductr has pre-built connectors such as Slack, Jira, Gmail, Salesforce, etc. If we’re missing an integration, you can request them here

Absolutely. Every error logged from your application is sent to Conductr AI through a secure HTTPS connection. The Conductr AI application runs on HTTPS only. Your error logs are stored in data centres compliant with Canadian privacy laws, which are some of the strictest in the world. You can be sure that your data is kept safe at all times. We follow industry best practices to ensure your data is protected at every level — from infrastructure to application. We’re proud to be SOC 2 compliant, which means our internal systems, policies, and controls have been independently audited to meet strict standards for security, availability, confidentiality, and privacy. This gives you confidence that your data is handled with the highest level of care.

No, Conductr analyzes your most recent commits and pull requests to surface insights earlier and more often. Conductr AI inspects stack traces and other text in your application’s logs; it doesn't require access to your application’s source code. When you integrate Conductr AI with your build server, that tells us when you've produced a new build or released it to a new environment, but it doesn't show us your commits.

You should never share your API key with anyone outside your company (even with Conductr AI’s team). API keys authenticate and authorize access to Conductr AI’s API.

Conductr MCP Server enables secure connectivity between Conductr Root Cause Agent (errors and debugging data) and enterprise knowledge using Model Context Protocol. It allows the AI Knowledge Engine to become an extensible feature to any SaaS tools - Slack, Jira, Notion, Gmail, JetBrains, Railtracks, ChatGPT, Claude, Cursor - retrieving historical knowledge, errors, deployments, and ticket information right where you work.

Yes. That’s exactly the role of the AI Knowledge Engine. It acts as your chat‑based co‑pilot, delivering answers grounded in enterprise knowledge. It can surface historical context, strategic insights, and technical guidance all in conversational form.

It is a managed service by Conductr.

The Conductr MCP server is a managed cloud service that can be scaled accordingly to customer needs. Customers do not need to worry about resource requirements like cpu, memory, disk.

Conductr MCP Server integrates with any LLM, agent, CRM, ERP, Communication SaaS tools.

All communication and traffic to and from Conductr MCP Server uses HTTPS.

Yes. That’s exactly the role of the AI Knowledge Engine. It acts as your chat‑based co‑pilot, delivering answers grounded in enterprise knowledge. It can surface historical context, strategic insights, and technical guidance all in conversational form.

Conductr’s AI Knowledge Engine provides instant, context-aware answers to any queries about projects, deployments and errors pulled from real-time data and ticketing systems to accelerate decision-making and minimize lookup friction.

The AI Knowledge Engine does not only cover root cause. It encompasses the entire enterprise knowledge including code analysis, risk forecasting, historical knowledge, dependencies, strategic planning, etc.