/ Software Engineering Intelligence /

The intelligence layer for agentic software delivery

AI made coding fast, but you can't tell whether it’s improving delivery or inflating costs.

Allstacks makes sense of your agentic software delivery, grounded in actual activity, with agents to surface risk, measure AI impact, and recommend optimizations.

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Dashboard shows GitHub Copilot user stats, adoption rates, suggestions acceptance, and AI usage impact chat.

/ impact /

Optimize software delivery

Impacts on software engineering organinzations using Allstacks.

32

%

Faster cycle time

3

x

Focus on strategic work

70

%

Fewer bugs in early months

25

%

Faster pull-request response

/ how it works /

Every answer traces back to the actual work

Allstacks connects your tools and enriches data continuously to create meaningful signals. Every risk, cost, and prediction the agents surface traces to the signals behind it.

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INputs

Connect.

Connect to your tool stack across project, code, delivery, collaboration and documentation.

Allstacks

Contextualize.

Allstacks normalizes and enriches your complete historical data set to create meaningful signals you can act on

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Outputs

Ask.

Continuous investigation and insights surfaced across delivery risk, AI tool impact, capacity allocation, and team flow.

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/ capabilities /

Built for software engineering leaders

Each capability helps you proactively run your software engineering organization and deliver on your commitments.

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Continuous delivery risk detection.

Agents investigate every initiative, surface risks weeks before a potential delay, and trace root causes across teams and tools.

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Predictive delivery forecasting.

Intelligence built on your team's actual history to forecast completion dates, flag capacity risks, and run scenarios before you're out of runway.

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AI tool ROI measurement.

Correlate AI tool adoption to key performance metrics such as cycle time, defect rates, and throughput across teams for the data behind "is this investment working?"

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Engineering performance analytics.

DORA, Flow, and SPACE metrics are normalized across your data, so you have one consistent performance picture without manual aggregation or brittle spreadsheets.

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Developer experience and surveys.

Combine pulse surveys with delivery activity to measure cognitive load, flow state, and team health alongside the delivery metrics that explain them.

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Portfolio and investment reporting.

Map engineer hours to initiatives and strategic vs. KTLO work, and generate the board-ready financial view your CFO needs.

/ see it /

Your always-on software engineering partner

Where you manage, measure, and optimize.

Dashboard showing investment focus with bar and pie charts detailing team resource distribution and analysis.
Dashboard showing bar charts of PR and ticket cycle times by low, medium, and high cursor usage cohorts.
Dashboard showing team metrics and investment distribution in bar and pie charts by categories and dates.

Catch risks early.

Every active initiative rolled up with forecasts, predictions, alerts, and risks surfaced.

Find the cause.

Ask about any at-risk initiative or click into it to see the blocked dependency, the slowing team, and the root cause.

Optimize your delivery.

AI tool adoption is mapped against key metrics, such as cycle time and defect rate, team by team, showing exactly what the investment returns and where to improve.

Tell the story.

Engineer hours mapped to initiatives and investment categories, so see your allocation breakdowns

/ use cases /

What teams do with Allstacks

Plan, manage, measure, and optimize your software and product creation processes.

Manage delivery risk.

Surface delays and dependencies before they become missed commitments.

Improve engineering performance.

Industry benchmarks and workflow-driven recommendations.

Align investment to initiatives.

Match where engineering time goes to what's actually planned.

Measure AI coding impact.

AI tool and token usage correlated with delivery metrics and costs to understand impacts

Automate software cost capitalization.

Audit-ready capitalization reports from development activity, no timesheets.

Measure developer productivity.

Productivity, output quality, and developer experience in one view.

Soft pastel sky with faint clouds and star constellations connected by lines.

/ customers /

Teams running on Allstacks

Kim Beauchemin

VP of Software Engineering

Allstacks eliminates my investigation bottlenecks and gives me confidence to act on the right problems. We prevent delivery surprises and shift from reactive firefighting to strategic planning.

Chris Probert

Director of Engineering

Allstacks has helped us move beyond surface-level metrics like velocity to a more complete view of engineering productivity.

‍

Michael Swanson

Senior Engineering Manager

We’re no longer working on things that don’t move the needle. Also, we’re focused on things that matter and teams are rallying around that—it’s all hands on deck.

Nandini Easwar

CTIO

As CTIO, I rely on Allstacks to turn complex engineering signals into a clear, board-ready narrative that ties directly to business outcomes. It gives me full visibility into how engineering work ladders up to revenue, so prioritization shifts from gut feel to data-backed confidence.

/ question & answers /

Frequently asked questions

What does Allstacks offer over Jira or other native reporting tools?

Native reporting tools typically only surface data from one system and lack the signals from actual code commits. Allstacks correlates 30-plus tools, normalizes and enriches them through the Context Graph, and runs agents that surface delivery risk and root cause automatically.

How is Allstacks different from BI tools?

BI tools require you to build and maintain every query and dashboard. Allstacks ships pre-built with SDLC-specific models, delivery forecasts, and agents that surface actionable insight without custom setup.

What metrics does Allstacks measure?

DORA, Flow, and SPACE metrics across all connected tools; delivery forecasts; AI coding tool adoption and impact; developer experience scores; and investment allocation and R&D capitalization. Allstacks measures 130+ metrics natively with the ability to configure and customize what metrics you want to see through our data explorer.

What does Allstacks connect to?

Thirty-plus tools across the PDLC and SDLC: Jira, GitHub, GitLab, Azure DevOps, Linear, CI/CD pipelines, Slack, Confluence, GitHub Copilot, Cursor, and more. Connections auto-refresh with no manual sync required.

How does Allstacks calculate costs?

Allstacks maps actual development activity to initiatives and applies your labor rates, classifying work as capitalizable R&D, strategic, or operational.

/ get started /

See it in action

Book a 30-minute demo to see it on live data