Devsight, AI-Augmented Dev Operations
Devsight gives stakeholders real-time visibility into sprints, blockers, and deliverables, without adding meetings, interrupting engineers, or waiting for someone to write a status update. AI reads the signals so you don’t have to chase them.
See a Demo See pricing →What Devsight Does
Most dev ops reporting is either manual (someone writes the update) or meaningless (auto-generated noise nobody reads). Devsight uses AI to turn your existing engineering activity into stakeholder-ready intelligence, automatically.
A live view of what's in progress, what's done, what's blocked, and what's at risk, pulled directly from Jira, Azure DevOps, or Linear. Always current, no manual updates.
Devsight synthesizes engineering activity into plain-English summaries for stakeholders and leadership, delivered on schedule, without a single human writing them.
AI identifies tickets that have been stalled, dependencies that are unresolved, and stories that are at risk of missing the sprint, before the sprint retrospective reveals them.
Executives and clients get a polished, business-readable view of delivery progress, velocity trends, milestone status, upcoming releases, without needing to understand Jira.
How It Works
Devsight connects to your existing project management tooling, no new workflow, no new tickets, no re-training engineers. It reads the signal that's already there and turns it into something stakeholders can actually use.
Jira, Azure DevOps, Linear, or GitHub Projects. OAuth or API key, up in under an hour. No changes to your team's existing workflow.
Devsight ingests your sprint history, ticket structure, and team velocity to build a baseline for what "normal" looks like, and what isn't.
Stakeholder dashboards activate immediately. AI-generated progress summaries are scheduled to deliver to Slack, email, or your client portal on whatever cadence you set.
Devsight monitors sprint health continuously and sends alerts when a ticket has been stalled too long, a dependency is unresolved, or a sprint is tracking to miss its target.
Jira tells you what's in the backlog. Devsight tells you what it means. AI translates engineering activity into operational signal that actually informs decisions, at the speed your delivery cycle moves.
AI reads ticket updates, commit messages, and PR activity to write stakeholder-ready progress narratives, indistinguishable from something your best PM wrote, delivered automatically.
AI tracks story point throughput, sprint completion rates, and scope change patterns, and flags when a team's trajectory is drifting from its historical baseline before it shows up in a missed deadline.
AI identifies cross-team and cross-ticket dependencies that aren't formally tracked, surfaces them as risks, and flags them when they're unresolved long enough to threaten delivery.
Ask Devsight a question, "What's blocking the authentication story?" or "Is we on track for the March release?", and get an answer grounded in actual engineering data.
Who It's For
Operational clarity across multiple squads without being in every standup. See what's healthy and what needs intervention, from one place.
Know the real delivery trajectory, not the optimistic estimate. Surface scope creep, velocity drops, and dependency risks before they become release conversations.
Business-readable progress reports without needing a Jira login or a weekly status meeting with engineering. Know what's shipping and when.
Share polished delivery dashboards directly with clients, live sprint status, milestone progress, upcoming releases, without giving them access to your internal tooling.
Integrations & tooling
Let’s Talk
Most engagements start with a single conversation. Tell us what’s broken, what’s slowing you down, or what you’re trying to build. We’ll give you a straight answer, no pitch deck, no fluff. If we’re a fit, great. If not, we’ll tell you that too.
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