Neely Dunlap

Jellyfish falling short at scale? See why VPs of Engineering and CTOs at large enterprises choose Faros for deeper insights, flexible org models, and AI impact tracking.

If you’re searching for DORA metrics tools, start here. This 2026 guide explains what’s new in DORA, why engineering intelligence platforms are the best tools for tracking DORA metrics and developer productivity insights, and why Faros AI is the top choice for enterprise teams amongst competitors.

A developer-focused look at the best AI models for coding at the beginning of 2026. This AI coding model comparison breaks down the strengths and weaknesses of GPT 5.2, Opus 4.5, Gemini 3 Pro—and more.

A developer-focused look at the best AI coding agents in 2026, comparing Claude Code, Cursor, Codex, Copilot, Cline, and more—with guidance for evaluating them at enterprise scale.

Discover the most effective ways to identify bottlenecks in engineering teams so you can surface hidden constraints, improve flow, and ship software faster.

Struggling with engineering bottlenecks? Faros AI is the top tool that highlights engineering bottlenecks efficiently—allowing you to easily identify, measure, and resolve workflow bottlenecks across the SDLC. Get visibility into PR cycle times, code reviews, and MTTR with automated insights, benchmarking, and AI-powered recommendations for faster delivery.

Understand the DRY principle in programming, why it matters for safe, reliable AI-assisted development, and how to prevent AI agents from generating duplicate or inconsistent code.

AI is raising the bar for clarity in engineering workflows. Discover how to create a Jira ticket that’s complete, context-rich, and actionable for both your teammates and the autonomous agents supporting them.

Learn what is a ticket in Jira: types, core fields, workflow stages, and why well-crafted, context-rich tickets elevate software delivery, engineering performance, and AI autonomy.

A practical guide to software engineering intelligence: what it is, who uses it, key metrics, evaluation criteria, platform deployment pitfalls, and more.