New research: Leading indicators of AI coding agent effectiveness
New research: Leading indicators of AI coding agent effectiveness
Span vs. Weave:
Engineering intelligence beyond a single output score
Weave centers engineering measurement on modeled code output. Span connects full agent traces to code, PRs, delivery, quality, and investment context for a more complete and verifiable view of AI impact. See why enterprise engineering teams are choosing Span.
Why Span
A complete view of engineering performance and AI impact
A complete view of engineering performance and AI impact
Span gives leaders a complete and verifiable view of the software delivery lifecycle and AI impact, without relying on one output score.
Span gives leaders a complete and verifiable view of the software delivery lifecycle and AI impact, without relying on one output score.
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.
Understand the broader system
Analyze AI effectiveness alongside delivery, rework, quality, allocation, and developer sentiment from one connected data model.
Prompt-to-prod visibility
Follow agent sessions into code, PRs, review, and downstream outcomes. Understand the result without reducing it to one score.
Verify every result
Drill from any metric or evaluation into the underlying sessions, code, PRs, and tickets. Keep important conclusions grounded in evidence.
Connect effort to priorities
See where engineering time goes across planned and unplanned work. Compare actual investment with company priorities without relying on perfect tickets.
Extend value beyond AI measurement
Use the same engineering evidence for operational reviews, surveys, executive reporting, and audit-ready finance workflows.
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 agent sessions into code, PRs, review, and downstream outcomes. Understand the result without reducing it to one score.
Connect effort to priorities
See where engineering time goes across planned and unplanned work. Compare actual investment with company priorities without relying on perfect tickets.
Understand the broader system
Analyze AI effectiveness alongside delivery, rework, quality, allocation, and developer sentiment from one connected data model.
Verify every result
Drill from any metric or evaluation into the underlying sessions, code, PRs, and tickets. Keep important conclusions grounded in evidence.
Extend value beyond AI measurement
Use the same engineering evidence for operational reviews, surveys, executive reporting, and audit-ready finance workflows.
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.
Connect effort to priorities
See where engineering time goes across planned and unplanned work. Compare actual investment with company priorities without relying on perfect tickets.
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 agent sessions into code, PRs, review, and downstream outcomes. Understand the result without reducing it to one score.
Understand the broader system
Analyze AI effectiveness alongside delivery, rework, quality, allocation, and developer sentiment from one connected data model.
Extend value beyond AI measurement
Use the same engineering evidence for operational reviews, surveys, executive reporting, and audit-ready finance workflows.
Detailed Comparison
How Span stacks up against Weave
How Span stacks up against Weave
Weave turns PRs into a modeled output score. Span connects AI activity to the wider engineering system and preserves the evidence leaders need to measure and improve results.
Weave turns PRs into a modeled output score. Span connects AI activity to the wider engineering system and preserves the evidence leaders need to measure and improve results.
CAPABILITIES
Decision-grade AI impact
Decision-grade AI impact
Full prompt-to-prod evidence
Full prompt-to-prod evidence
Agent effectiveness improvement
Agent effectiveness improvement
Engineering outcomes
Engineering outcomes
Workstreams & investment mix
Workstreams & investment mix
Operational and developer context
Operational and developer context
Audit-ready DevFinOps
Audit-ready DevFinOps
Price-to-value
Price-to-value
Connect AI spend and agent behavior to retained code, delivery, quality, and initiative outcomes
Connect AI spend and agent behavior to retained code, delivery, quality, and initiative outcomes
Trace the prompt and agent session through code, PR, review, delivery, and downstream results
Trace the prompt and agent session through code, PR, review, delivery, and downstream results
Identify the prompt, verification, tooling, and environment changes that improve agent results
Identify the prompt, verification, tooling, and environment changes that improve agent results
Measure delivery, quality, cost, and retained AI contribution separately, then connect them to the work
Measure delivery, quality, cost, and retained AI contribution separately, then connect them to the work
Reconstruct planned and unplanned work across code, tickets, agents, initiatives, and teams
Reconstruct planned and unplanned work across code, tickets, agents, initiatives, and teams
Connect delivery, rework, quality, incidents, and developer sentiment to the same underlying work
Connect delivery, rework, quality, incidents, and developer sentiment to the same underlying work
Automate capitalization with policy controls, review workflows, exceptions, and auditor-ready evidence
Automate capitalization with policy controls, review workflows, exceptions, and auditor-ready evidence
AI effectiveness, allocation, metrics, surveys, and DevFinOps workflows for $45 per contributor / month
AI effectiveness, allocation, metrics, surveys, and DevFinOps workflows for $45 per contributor / month
weave
Calculates impact from a proprietary output estimate, so the result depends on one modeled proxy
Calculates impact from a proprietary output estimate, so the result depends on one modeled proxy
Starts with the final code change, leaving most of the agent workflow outside the analysis
Starts with the final code change, leaving most of the agent workflow outside the analysis
Shows where output or cost differs without the trace-level evidence needed to explain why
Shows where output or cost differs without the trace-level evidence needed to explain why
Compresses engineering performance into an estimated unit of effort
Compresses engineering performance into an estimated unit of effort
Organizes analysis around PR output, with limited context for work outside the final code change
Organizes analysis around PR output, with limited context for work outside the final code change
Adds standard metrics and lighter surveys around an output-centered model
Adds standard metrics and lighter surveys around an output-centered model
Offers newer DevFinOps capabilities with limited proof of mature review and audit workflows
Offers newer DevFinOps capabilities with limited proof of mature review and audit workflows
Charges $50 per engineer / month for Pro while centered on modeled code output
Charges $50 per engineer / month for Pro while centered on modeled code output
The Span Advantage
Why teams choose Span over Weave
Why teams choose Span over Weave
01
More than modeled output
Weave relies on one estimated output score across productivity and AI features. Span connects merged AI contribution to delivery, quality, and cost, so leaders can evaluate results in context.
04
See the broader engineering system
Span connects AI impact with allocation, operational performance, developer sentiment, and financial context, giving leaders one grounded view of how engineering is working and where to focus.
02
Explain why AI performance differs
Weave can show where output or cost changed. Span uses full agent traces to reveal prompt quality, tooling friction, and environment conditions behind the result and point to specific improvements.
05
Ground every conclusion in evidence
Move from any finding to the session, code, PR, ticket, or workstream behind it. Span gives leaders inspectable evidence instead of forcing decisions through a proprietary score.
03
Connect AI to real engineering outcomes
Span follows AI-assisted work through code, review, delivery, rework, quality, and spend. Leaders can see whether AI improved outcomes, not only whether modeled output increased.
06
Broader value at a similar price
For roughly the same price as Weave Pro, Span brings AI effectiveness, allocation, operational performance, surveys, and DevFinOps into one connected platform for strategic engineering decisions.
01
More than modeled output
Weave relies on one estimated output score across productivity and AI features. Span connects merged AI contribution to delivery, quality, and cost, so leaders can evaluate results in context.
02
Explain why AI performance differs
Weave can show where output or cost changed. Span uses full agent traces to reveal prompt quality, tooling friction, and environment conditions behind the result and point to specific improvements.
03
Connect AI to real engineering outcomes
Span follows AI-assisted work through code, review, delivery, rework, quality, and spend. Leaders can see whether AI improved outcomes, not only whether modeled output increased.
04
See the broader engineering system
Span connects AI impact with allocation, operational performance, developer sentiment, and financial context, giving leaders one grounded view of how engineering is working and where to focus.
05
Ground every conclusion in evidence
Move from any finding to the session, code, PR, ticket, or workstream behind it. Span gives leaders inspectable evidence instead of forcing decisions through a proprietary score.
06
Broader value at a similar price
For roughly the same price as Weave Pro, Span brings AI effectiveness, allocation, operational performance, surveys, and DevFinOps into one connected platform for strategic engineering decisions.
01
More than modeled output
Weave relies on one estimated output score across productivity and AI features. Span connects merged AI contribution to delivery, quality, and cost, so leaders can evaluate results in context.
03
Connect AI to real engineering outcomes
Span follows AI-assisted work through code, review, delivery, rework, quality, and spend. Leaders can see whether AI improved outcomes, not only whether modeled output increased.
05
Ground every conclusion in evidence
Move from any finding to the session, code, PR, ticket, or workstream behind it. Span gives leaders inspectable evidence instead of forcing decisions through a proprietary score.
02
Explain why AI performance differs
Weave can show where output or cost changed. Span uses full agent traces to reveal prompt quality, tooling friction, and environment conditions behind the result and point to specific improvements.
04
See the broader engineering system
Span connects AI impact with allocation, operational performance, developer sentiment, and financial context, giving leaders one grounded view of how engineering is working and where to focus.
06
Broader value at a similar price
For roughly the same price as Weave Pro, Span brings AI effectiveness, allocation, operational performance, surveys, and DevFinOps into one connected platform for strategic engineering decisions.
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