New research: Leading indicators of AI coding agent effectiveness

New research: Leading indicators of AI coding agent effectiveness

Span vs. Faros:
Engineering intelligence without the data project

Faros gives enterprises a flexible platform for custom analytics. Span turns fragmented engineering activity into a working intelligence system, with prompt-to-prod evidence behind every answer. See why modern engineering teams are switching to Span.

Why Span

A working intelligence system for engineering leaders

A working intelligence system for engineering leaders

Span turns engineering data into trusted answers and next steps, without making customers design and maintain the analytics layer themselves.

Span turns engineering data into trusted answers and next steps, without making customers design and maintain the analytics layer themselves.

Prove and improve AI impact

Connect agent traces and spend to retained code, delivery, quality, and cost. Surface the workflow improvements and environment fixes that improve results.

Get to a trusted decision faster

Start with a predefined engineering work model and ready-to-use workflows.

Prompt-to-prod visibility

Follow the complete agent session into the code and PR it produced, then inspect what happened through review and production.

Verify every result

Drill from any metric or evaluation into the underlying sessions, code, PRs, and tickets. Keep important conclusions grounded in evidence.

Reconstruct work from the work itself

Use code and activity to recover workstreams and relationships when source systems are incomplete. Depend less on customer-built mappings.

Support recurring engineering decisions

Use the same connected evidence for AI impact and investment decisions, without rebuilding the data model for every new question.

Prove and improve AI impact

Connect agent traces and spend to retained code, delivery, quality, and cost. Surface the workflow improvements and environment fixes that improve results.

Prompt-to-prod visibility

Follow the complete agent session into the code and PR it produced, then inspect what happened through review and production.

Reconstruct work from the work itself

Use code and activity to recover workstreams and relationships when source systems are incomplete. Depend less on customer-built mappings.

Get to a trusted decision faster

Start with a predefined engineering work model and ready-to-use workflows.

Verify every result

Drill from any metric or evaluation into the underlying sessions, code, PRs, and tickets. Keep important conclusions grounded in evidence.

Support recurring engineering decisions

Use the same connected evidence for AI impact and investment decisions, without rebuilding the data model for every new question.

Prove and improve AI impact

Connect agent traces and spend to retained code, delivery, quality, and cost. Surface the workflow improvements and environment fixes that improve results.

Reconstruct work from the work itself

Use code and activity to recover workstreams and relationships when source systems are incomplete. Depend less on customer-built mappings.

Verify every result

Drill from any metric or evaluation into the underlying sessions, code, PRs, and tickets. Keep important conclusions grounded in evidence.

Prompt-to-prod visibility

Follow the complete agent session into the code and PR it produced, then inspect what happened through review and production.

Get to a trusted decision faster

Start with a predefined engineering work model and ready-to-use workflows.

Support recurring engineering decisions

Use the same connected evidence for AI impact and investment decisions, without rebuilding the data model for every new question.

Detailed Comparison

How Span stacks up against Faros

How Span stacks up against Faros

Faros gives experts a configurable analytics platform. Span gives leaders a working intelligence system with less customer-owned modeling and more inspectable evidence.

Faros gives experts a configurable analytics platform. Span gives leaders a working intelligence system with less customer-owned modeling and more inspectable evidence.

CAPABILITIES

Time to a trusted decision

Time to a trusted decision

Full prompt-to-prod evidence

Full prompt-to-prod evidence

Agent effectiveness improvement

Agent effectiveness improvement

Verifiable AI attribution

Verifiable AI attribution

Semantic work reconstruction

Semantic work reconstruction

Ongoing operating burden

Ongoing operating burden

Role-ready intelligence

Role-ready intelligence

Audit-ready DevFinOps

Audit-ready DevFinOps

Start with a ready-made model of engineering work

Start with a ready-made model of engineering work

Connect full agent sessions to code, PRs, and outcomes

Connect full agent sessions to code, PRs, and outcomes

Evaluate agent behavior and surface grounded environment fixes

Evaluate agent behavior and surface grounded environment fixes

Trace AI-assisted code back to the producing session

Trace AI-assisted code back to the producing session

Infer workstreams from code and incomplete source records

Infer workstreams from code and incomplete source records

Reduce manual mapping as teams and work change

Reduce manual mapping as teams and work change

Give leaders ready answers without custom-built views

Give leaders ready answers without custom-built views

Automate capitalization with review-ready supporting evidence

Automate capitalization with review-ready supporting evidence

faros

Configure models and views before insights become repeatable

Configure models and views before insights become repeatable

Shows session signals without clear trace-to-code provenance

Shows session signals without clear trace-to-code provenance

Relies on aggregate analysis without task-level evidence

Relies on aggregate analysis without task-level evidence

Reports AI-code percentages without documented attribution methodology

Reports AI-code percentages without documented attribution methodology

Depends more on structured records and customer mappings

Depends more on structured records and customer mappings

Maintain custom mappings, connections, and definitions over time

Maintain custom mappings, connections, and definitions over time

Requires central experts to configure and interpret views

Requires central experts to configure and interpret views

Offers capitalization with less public audit proof

Offers capitalization with less public audit proof

The Span Advantage

Why teams choose Span over Faros

Why teams choose Span over Faros

01

Less to build before you can act

Faros provides the components for a custom analytics system. Span starts with a working model of engineering, reducing the setup and interpretation work customers must own.

04

Know why AI performance differs

Faros can estimate system-level impact. Span adds task-level evidence that reveals how developers direct agents, where verification breaks down, and which environment fixes will help.

02

Get to the trusted decision faster

Fast ingestion is only the beginning. Span turns fragmented activity into a defensible answer leaders can use without first designing the schema or building the view.

05

Understand the work, not just the systems

Faros normalizes where work is recorded. Span also infers the meaning and relationships of the work itself, recovering context that was never cleanly represented in source systems.

03

Evidence from session to outcome

Follow AI-assisted work from the complete agent session into the code and PR, then inspect what happened downstream. Every conclusion stays connected to the underlying work.

06

Built to spread beyond the central team

Span gives each level of the organization role-ready answers without requiring a central analyst to configure every view. That makes the system easier to use repeatedly across engineering.

01

Less to build before you can act

Faros provides the components for a custom analytics system. Span starts with a working model of engineering, reducing the setup and interpretation work customers must own.

02

Get to the trusted decision faster

Fast ingestion is only the beginning. Span turns fragmented activity into a defensible answer leaders can use without first designing the schema or building the view.

03

Evidence from session to outcome

Follow AI-assisted work from the complete agent session into the code and PR, then inspect what happened downstream. Every conclusion stays connected to the underlying work.

04

Know why AI performance differs

Faros can estimate system-level impact. Span adds task-level evidence that reveals how developers direct agents, where verification breaks down, and which environment fixes will help.

05

Understand the work, not just the systems

Faros normalizes where work is recorded. Span also infers the meaning and relationships of the work itself, recovering context that was never cleanly represented in source systems.

06

Built to spread beyond the central team

Span gives each level of the organization role-ready answers without requiring a central analyst to configure every view. That makes the system easier to use repeatedly across engineering.

01

Less to build before you can act

Faros provides the components for a custom analytics system. Span starts with a working model of engineering, reducing the setup and interpretation work customers must own.

03

Evidence from session to outcome

Follow AI-assisted work from the complete agent session into the code and PR, then inspect what happened downstream. Every conclusion stays connected to the underlying work.

05

Understand the work, not just the systems

Faros normalizes where work is recorded. Span also infers the meaning and relationships of the work itself, recovering context that was never cleanly represented in source systems.

02

Get to the trusted decision faster

Fast ingestion is only the beginning. Span turns fragmented activity into a defensible answer leaders can use without first designing the schema or building the view.

04

Know why AI performance differs

Faros can estimate system-level impact. Span adds task-level evidence that reveals how developers direct agents, where verification breaks down, and which environment fixes will help.

06

Built to spread beyond the central team

Span gives each level of the organization role-ready answers without requiring a central analyst to configure every view. That makes the system easier to use repeatedly across engineering.

Glossgenius

glossgenius.com

"Span helps us take a more data-driven approach to velocity and gives every team and engineer visibility into how they can improve. We quickly moved the needle by giving teams insight into their working patterns and their own maker time."

Brady Allchin

VP of Engineering

Classpass

classpass.com

"We looked at other products, but ultimately chose Span. It came down to the magic and usability. Span just feels built by engineers who understand how teams actually work."

Henrique Boregio

Director of Engineering

Glossgenius

glossgenius.com

"Span helps us take a more data-driven approach to velocity and gives every team and engineer visibility into how they can improve. We quickly moved the needle by giving teams insight into their working patterns and their own maker time."

Brady Allchin

VP of Engineering

Classpass

classpass.com

"We looked at other products, but ultimately chose Span. It came down to the magic and usability. Span just feels built by engineers who understand how teams actually work."

Henrique Boregio

Director of Engineering

Transparent, predictable pricing

Transparent, predictable pricing

No negotiation games, hidden costs, or surprises.

No negotiation games, hidden costs, or surprises.

$45

contributor/mo

billed annually

Glossgenius

glossgenius.com

"Span helps us take a more data-driven approach to velocity and gives every team and engineer visibility into how they can improve. We quickly moved the needle by giving teams insight into their working patterns and their own maker time."

Brady Allchin

VP of Engineering

Classpass

classpass.com

"We looked at other products, but ultimately chose Span. It came down to the magic and usability. Span just feels built by engineers who understand how teams actually work."

Henrique Boregio

Director of Engineering

Everything you need to unlock engineering excellence

Everything you need to unlock engineering excellence