
Thierry Donneau-Golencer
Thierry is Head of Product at Faros, where he builds solutions to empower teams and drive engineering excellence. His previous roles include AI research (Stanford Research Institute), an AI startup (Tempo AI, acquired by Salesforce), and large-scale business AI (Salesforce Einstein AI).
Latest posts by Thierry Donneau-Golencer
Blog
5
min
4/28/26
AI coding ROI that services the CFO conversation
AI coding assistant pricing changes are reshaping engineering budgets. Build a defensible ROI calculation by tool, team, and model before your next renewal.

AI
Coding
Productivity
Leaders
Popular
5
MIN READ
Solutions
12
min
1/7/26
How to measure Claude Code ROI: Developer productivity insights with Faros
Track Claude Code usage, adoption, and engineering impact using Faros AI’s observability platform.

AI
Popular
Productivity
12
MIN READ
Solutions
15
min
1/5/26
Lines of code is a misleading metric for AI impact: What to measure instead
There's a better way to measure AI productivity than counting lines of code. Focus on outcome metrics that prove business value: cycle times, quality, and delivery velocity. Learn why lines of code fails as an AI productivity metric, what outcome-based alternatives actually work, and when tracking AI code volume matters for governance and risk management.

AI
Metrics
Productivity
Popular
Coding
15
MIN READ
Guides
10
min
12/4/25
Claude Code token limits: Guide for engineering leaders
You can now measure Claude Code token usage, costs by model, and output metrics like commits and PRs. Learn how engineering leaders connect these inputs to leading and lagging indicators like PR review time, lead time, and CFR to evaluate the true ROI of AI coding tool and model choices.

AI
Leaders
Popular
Productivity
10
MIN READ
Guides
15
min
12/1/25
Context engineering for developers: The complete guide
Context engineering for developers has replaced prompt engineering as the key to AI coding success. Learn the five core strategies—selection, compression, ordering, isolation, and format optimization—plus how to implement context engineering for AI agents in enterprise codebases today.

AI
Developers
Context
Popular
15
MIN READ
News
8
min
10/31/25
Faros AI Iwatani Release: Metrics to Measure Productivity Gains from AI Coding Tools
Get comprehensive metrics to measure productivity gains from AI coding tools. The Faros AI Iwatani Release helps engineering leaders determine which AI coding assistant offers the highest ROI through usage analytics, cost tracking, and productivity measurement frameworks.

AI
Productivity
Faros Announcements
8
MIN READ
Blog
9
min
10/3/25
Bain Technology Report 2025: Why AI Gains Are Stalling
The Bain Technology Report 2025 reveals why AI coding tools deliver only 10-15% productivity gains. Learn why companies aren't seeing ROI and how to fix it with lifecycle-wide transformation.

AI
Productivity
Popular
9
MIN READ
Blog
8
min
10/1/25
A 5th DORA Metric? Rework Rate is Here (And You Can Track It Now)
Discover the 5th DORA metric: Rework rate. Learn what it is, why it matters in the AI era, and how to start tracking it today. Get industry benchmarks, see what good looks like, and find practical tips to reduce wasted engineering effort and boost performance.

Productivity
DORA Metrics
Popular
8
MIN READ
Blog
3
min
6/23/25
How to Measure AI Productivity in Software Engineering
Most AI tools don’t improve delivery. The GAINS framework helps engineering leaders measure real productivity impact across 10 transformation dimensions—from throughput to organizational efficiency.

Productivity
AI
3
MIN READ
Solutions
10
min
5/6/25
Developer Experience Surveys Alone Aren’t Enough: The Case for Triangulating Developer Experience Data
Uncover the limits of DevEx surveys and learn how to ensure insights are valid, actionable, and grounded in operational reality.

Developer Experience
Platform Engineering
10
MIN READ
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