# LinearB Blog | Insights and Best Practices for Software Engineering Leaders

> Explore LinearB's blog for insights on optimizing developer productivity, enhancing DevEx, improving workflows, and getting product updates. Read more today!

_This is a markdown rendering of a live HTML page on linearb.io, generated for AI/LLM consumption — it is not a markdown-only site. To get the full HTML page instead, request this URL with an explicit `Accept: text/html` header (no wildcard, no markdown preference)._

[All topics](https://linearb.io/blog/p/5#post-section-1)
[Eng. Metrics](https://linearb.io/blog/p/1?category=eng-metrics)
[Product](https://linearb.io/blog/p/1?category=product)
[Workflow](https://linearb.io/blog/p/1?category=workflow)
[DevEx](https://linearb.io/blog/p/1?category=dev-ex)
[Leadership](https://linearb.io/blog/p/1?category=leadership)
[AI](https://linearb.io/blog/p/1?category=ai)

# Blog

[![Cover image for The AI maximalist: why engineering leaders need to invert their thinking](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Blog_AI_Maximalist_Philosophy_2400x1256_1_78908b712f?_a=BAVMn6ID0)](https://linearb.io/blog/ai-maximalist-invert-thinking-craig-mcluckie)

AI

[The AI maximalist: why engineering leaders need to invert their thinking](https://linearb.io/blog/ai-maximalist-invert-thinking-craig-mcluckie)

Kubernetes co-creator Craig McLuckie advocates for the "AI Maximalist" philosophy, urging engineering leaders to invert their thinking by asking "Why can't we...

[![Cover image for Here’s where AI coding agents are delivering reliable code refactoring](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Blog_Reliable_Code_Refactoring_2400x1256_7f99a0f2c2?_a=BAVMn6ID0)](https://linearb.io/blog/ai-coding-agents-code-refactoring)

AI

[Here’s where AI coding agents are delivering reliable code refactoring](https://linearb.io/blog/ai-coding-agents-code-refactoring)

New research analyzing 15,000+ AI refactorings reveals agents excel at routine cleanup but struggle with architectural changes. Learn where AI delivers value...

[![Cover image for Speed as a moat: building the open innovation engine at AMD](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Blog_AI_Software_Ecosystems_2400x1256_65f9603646?_a=BAVMn6ID0)](https://linearb.io/blog/amd-ai-speed-moat-open-innovation)

AI

[Speed as a moat: building the open innovation engine at AMD](https://linearb.io/blog/amd-ai-speed-moat-open-innovation)

AMD's Anush Elangovan reveals why speed of innovation is the only true moat in AI, detailing how the open-source ROCm stack fosters an "innovation flywheel"...

## Join our community of data-driven dev leaders

LinearB may send you email occasionally about how you can optimize productivity. We will not share your information with anyone. Ever.

[![Cover image for Measuring the impact of Copilot and Cursor on engineering productivity](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Hero_Copilot_Cursor_Metrics_Dashboard_2400x1256_d3ab96e879?_a=BAVMn6ID0)](https://linearb.io/blog/measuring-the-impact-of-copilot-and-cursor-on-engineering-productivity)

Product

[Measuring the impact of Copilot and Cursor on engineering productivity](https://linearb.io/blog/measuring-the-impact-of-copilot-and-cursor-on-engineering-productivity)

Track GitHub Copilot and Cursor adoption, usage, and ROI in one unified LinearB dashboard. Correlate AI metrics with delivery performance and outcomes.

[![Cover image for Is the future of AI development spec-driven?](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Blog_Agentic_IDE_2400x1256_f05088e798?_a=BAVMn6ID0)](https://linearb.io/blog/future-of-ai-development-spec-driven-aws-kiro)

AI

[Is the future of AI development spec-driven?](https://linearb.io/blog/future-of-ai-development-spec-driven-aws-kiro)

Amit Patel, Director of Software Development for AWS Kiro, explains why spec-driven development is the future of AI development, solving the context loss...

[![Cover image for The new engineering leader: navigating AI as a core business metric](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Blog_Future_of_Engineering_Leadership_2400x1256_5db09b5f2d?_a=BAVMn6ID0)](https://linearb.io/blog/cto-cfo-ai-core-business-metric)

AI

[The new engineering leader: navigating AI as a core business metric](https://linearb.io/blog/cto-cfo-ai-core-business-metric)

Lake Dai, a globally recognized AI expert, explains why the modern CTO must adopt the financial acumen of a CFO to manage AI compute costs (30-50% of OpEx) and...

## Most popular

[Developer Experience Quantified: The Impact on Productivity](https://linearb.io/blog/developer-experience-quantified)

[](https://linearb.io/blog/developer-experience-quantified)

[What is Developer Productivity and How to Measure It](https://linearb.io/blog/developer-productivity)

[](https://linearb.io/blog/developer-productivity)

[What are DORA Metrics and How to Unlock Elite Engineering Performance](https://linearb.io/blog/dora-metrics)

[](https://linearb.io/blog/dora-metrics)

[![Cover image for What is the best AI code review tool?](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Blog_Best_AI_Code_Review_Tools_2400x1256_6ec6869736?_a=BAVMn6ID0)](https://linearb.io/blog/best-ai-code-review-tool-benchmark-linearb)

AI

[What is the best AI code review tool?](https://linearb.io/blog/best-ai-code-review-tool-benchmark-linearb)

Discover which AI code review tools actually work in production: This controlled benchmark reveals why LinearB's statefulness and signal-to-noise ratio...

[![Cover image for Closing the AI gap: How to measure adoption and impact in engineering (without falling into the ROI trap)](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/blog_closing_gap_2400x1256_93997deb31?_a=BAVMn6ID0)](https://linearb.io/blog/closing-the-ai-gap)

[Closing the AI gap: How to measure adoption and impact in engineering (without falling into the ROI trap)](https://linearb.io/blog/closing-the-ai-gap)

Measure AI adoption and impact in engineering with usage visibility, throughput + quality metrics, and credible ROI narratives grounded in delivery data.

[![Cover image for A guild, not a mandate: Superhuman's blueprint for AI success](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Blog_Skepticism_to_Success_2400x1256_3b6cf480e0?_a=BAVMn6ID0)](https://linearb.io/blog/ai-guild-not-a-mandate-superhuman-blueprint)

AI

[A guild, not a mandate: Superhuman's blueprint for AI success](https://linearb.io/blog/ai-guild-not-a-mandate-superhuman-blueprint)

Superhuman's Loic Houssier shares a blueprint for driving bottom-up AI adoption by overcoming skepticism with a trusted internal champion, fostering an AI...

[](https://linearb.io/blog/p/4)
[1](https://linearb.io/blog/p/1)...[3](https://linearb.io/blog/p/3)
[4](https://linearb.io/blog/p/4)

5

[6](https://linearb.io/blog/p/6)
[7](https://linearb.io/blog/p/7)...[49](https://linearb.io/blog/p/49)
[](https://linearb.io/blog/p/6)

## Structured data

_Machine-readable metadata (JSON-LD) embedded in the page for search/AI context — not content rendered on the page itself._

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```

## More on linearb.io

### Top navigation

- [Book a Demo](https://linearb.io/book-a-demo)
- [AI Code Reviews — Catch security risks, bugs, and spec mismatches](https://linearb.io/platform/ai-code-reviews)
- [AI & Productivity Insights — See how AI tools affect cycle time and delivery speed](https://linearb.io/platform/ai-developer-productivity-insights)
- [Measure AI Impact — Track AI adoption and tie it to delivery outcomes](https://linearb.io/use-case/measure-ai-impact)
- [MCP Server — Chat with your data to spot patterns and boost output](https://linearb.io/platform/mcp-server)
- [Resource Allocation — Cost initiatives and shape your investment strategy](https://linearb.io/platform/resource-allocation)
- [Cost Capitalization — Capitalize engineering costs with audit-ready reports](https://linearb.io/platform/cost-capitalization)
- [Dev Team Management — Set targets and tie throughput to business outcomes](https://linearb.io/platform/goals-and-reporting)
- [DevOps Workflow Automation — Policy-based PR routing, approvals, and tests](https://linearb.io/platform/ai-workflow-governance)
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- [Why choose LinearB — Explore your data. Measure performance. Act to improve it.](https://linearb.io/why-linearb)
- [APEX framework — The operating model for AI-era engineering teams](https://linearb.io/resources/apex-framework)
- [Anti-FAQ — The questions other vendors won't answer](https://linearb.io/why-linearb/anti-faq)
- [Security — Enterprise-grade compliance and zero code access](https://linearb.io/security)
- [Build vs. buy — The hidden cost of building it yourself](https://linearb.io/resources/build-vs-buy)
- [Dev Interrupted Podcast — Conversations with engineering leaders](https://linearb.io/dev-interrupted/podcasts)
- [Reports & Guides — Deep dives on productivity and delivery](https://linearb.io/resources)
- [Webinars — Expert sessions on productivity and AI](https://linearb.io/resources?category=workshops)
- [Metrics Benchmarks — See how your engineering org stacks up](https://linearb.io/resources/software-engineering-benchmarks-report)
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