# AI ENGINEERING REPORT 2026 ## acceleration whiplash The definitive data on AI's engineering impact. What's working, what's breaking, and what leaders need to do next. - Engineering throughput is up - Bugs, incidents, and rework are rising faster - Two years of data from 22,000 developers across 4,000 teams [get the report](https://www.faros.ai/research/ai-acceleration-whiplash) ## Centralized AI coding impact analysis and insight ### Adoption metrics - **Granular** - **Coarse** ### Usage tracking - **Full data history** - **Partial** ### Downstream impact metrics - **Cause-and-effect analysis** on velocity, quality, security, and satisfaction with data from 100+ tools - **Limited** ### Team and Power User views ### A/B and Before/After analysis ### Out-of-the-box dashboards for tracking adoption, impact, risk and value ### Out-of-the-box developer surveys ### Team-tailored alerts and recommendations to address new bottlenecks ## Comprehensive visibility into the impact of AI coding tools AI is everywhere. Impact isn't. **‍** Copilot, Claude, Codex, Cursor—teams are using multiple AI tools every day. But enterprise leaders are still grappling with what's working, what's not, and whether spend is actually translating into results. **‍** Faros provides defensible impact measurement by tying AI adoption and usage to real engineering outcomes. Establish baselines, quantify lift, and communicate ROI across speed, throughput, quality, and risk—by team, repo, and workflow. \ \ Watch demo](https://www.faros.ai/copilot-module#) ## Unlock 40% higher ROI from your AI coding tools New AI coding tools are announced daily. Improve your return on investment with a full measurement framework that guides you from trial to rollout to optimization. ### Optimize tooling mix Identify the most effective AI tools and models, best-suited to your code and favored by your developers. ### Prove business value Quantify and improve ROI with cause-and-effect analysis tied to delivery, quality, and risk. ### Scale with control Scale AI adoption strategically and safely with governance, guardrails, and end-to-end monitoring. ### Testimonial “While AI coding tools have the potential to increase productivity, having a way to evaluate their impact scientifically will help build the business case for the investment.” **Shai Peretz, SVP Engineering, Riskified** [View case study](https://www.faros.ai/blog/customer-stories-riskified) ## Insights to guide your AI investment ### Track adoption and usage over time Without usage, there can be no ROI. Optimize your rollout for higher impact with insights into adoption and usage. - Measure daily, weekly, and monthly adoption. - Track acceptance rates and lines of code generated, by language and editor. - Measure the percentage of AI-generated code by repo. - Identify unused licenses and power users who can train others. ### Measure downstream impacts across the entire SDLC Separate hype from reality and set the right expectations for your organization. - Identify emerging bottlenecks in code review, deployment, or QA. - Maintain visibility into quality, reliability, and tech debt. - Identify potential security and compliance issues in AI-augmented code. - Present clear cost/benefit metrics to executive leadership and finance. ### Understand time savings and developer satisfaction See how accelerated coding is changing development patterns. - Measure time savings and where they’re being reinvested (velocity, quality, tech debt, upskilling, etc.). - Capture developer sentiment with out-of-the-box surveys. - Understand which teams and roles are adopting and benefiting most. - Improve training and mentoring to optimize your rollout. ## The essentials ## Frequently asked questions What type of impact metrics are included? How does Faros help in head-to-head AI code assistant evaluations? How does Faros help with driving adoption? How can Faros help if a pilot has already begun? Is the data in the Faros ROI dashboards anonymized? Is Faros secure? ## maximize your coding roi Become more data-driven with Faros. See the platform in action. [REQUEST A DEMO](https://www.faros.ai/contact-us) ## Context for the work you do every day Engineering context powers the use cases that help your organization transform as fast as AI evolves.