The AI Engineering Report Q3 2026 is now available! Read the latest research:
THE SPEED TRAP
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Overview

Monitor and measure what your teams + AI produce, optimize model routes and agent context for max efficienciy, and govern adoption AI across teams

Capabilities
Observe

Track token spend, outcomes, and AI engineering efficiency across your teams

Optimize

Model routing and context engineering that cut token waste, maximize outcomes

Govern

Comprehensive policies and guardrails to minimize AI adoption drisk

Solutions
Solutions
AI ROI

Maximize AI returns across development teams, tools, and outcomes

AI Spend Visibility

Track AI coding costs and uncover what drives your spend

AI Token Allocation

Allocate AI spend to team budgets and forecast what’s next

AI Governance

Enforce model, budget, and data policies across developers and agents

Developer Productivity

Understand AI's impact on delivery, quality, and productivity

Optimal Model Routing

Route tasks using model performance proven on your own code

Build Your Own Bench

Turn shipped work into benchmarks for smarter AI coding decisions

Cover of the Faros AI Engineering Report Q3 2026, The Speed Trap

AI Engineering Report Q3 2026: The Speed Trap is now available

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Engineering in the AI era

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Reports on AI engineering

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See who ships faster

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Cover of the Faros AI Engineering Report Q3 2026, The Speed Trap

AI Engineering Report Q3 2026: The Speed Trap is now available

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Cover of the Faros AI Engineering Report Q3 2026, The Speed Trap

AI Engineering Report 2026: The Speed Trap is now available

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AI Industry
10
min
8/15/22

Are You Using or About to Use DORA metrics? Read this First.

Since Accelerate was published in 2018, “DORA metrics” have become increasingly popular for measuring IT performance. More vendors are creating dashboards or integrating these metrics into their existing pipeline tooling. However, the context is getting lost in the race to deliver these features to customers.
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DORA Metrics
Platform Engineering
10
MIN READ
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