Stop guessing. Start measuring.
The first benchmarking tool that measures your engineering
impact with AI - across the entire SDLC pipeline.
curl -fsSL https://nairon.ai/install | bashYour NaironAI Score: 76/100 Top 22% Token Efficiency: 1.12x (12% more efficient than avg) Requirements 82 Top 15% ████████████████░░░░ Planning 71 Top 35% ██████████████░░░░░░ Implementation 84 Top 10% ████████████████░░░░ Testing 63 Top 48% ████████████░░░░░░░░ Review 72 Top 30% ██████████████░░░░░░ Tokens this week: 1.8M | Waste: 12% | Cost: ~$47
Everyone's measuring the wrong thing.
Lines of code? Vanity metric. Raw token count without context? Meaningless. Commit frequency? Tells you nothing about quality.
AI tools made it trivially easy to generate massive amounts of code. But now your company's AI API budget is a real line item. The question isn't "how many tokens did you use?" It's:
- - Did the feature ship? Does it work? How many tokens did it take?
- - Did the bug get fixed? Did it stay fixed? Or did you burn tokens on slop that got reverted?
- - Did you break anything in production?
- - How much time, money, and tokens did the business save?
nb measures both sides: impact delivered AND token efficiency to get there.
Know exactly where you stand.
Scores your performance across every phase of software development - from requirements gathering to code review. Not just implementation. The full picture.
Get better every week.
Analyzes your AI coding sessions and delivers concrete improvement reports: frustrations detected, wasted tokens identified, tools to install, SKILLs to create.
Never fall behind on tooling.
Our nightly crawler monitors X, YouTube, GitHub Trending, and HN. Finds new AI dev tools and recommends them only if the data shows they improve scores.
You live in the terminal. So does your improvement plan.
No newsletters. No blogs. No browser tabs. Everything comes to you right where you work.
$ nb scan && nb insights Your score: 76/100 (Top 22%) Do these 3 things to reach Top 15%: 1. nb tools setup stagehand-ai 2. nb skills install api-error-handling 3. Spend 10 more min planning before implementing Estimated impact: +12 points -> Top 8%
Your AI budget is a line item now.
Make every token count.
| What We Track | Why It Matters |
|---|---|
| Tokens per feature delivered | The real cost of shipping. Lower = more efficient. |
| Wasted tokens | Context reloading, undo loops, verbose prompts. Avg user cuts waste by 25% in month one. |
| Model selection efficiency | Using opus for boilerplate? That's 10x the cost for the same output. |
| Context strategy score | RepoPrompt codemaps use ~30K tokens. Pasting raw files uses ~150K. |
| Cost per SDLC phase | Know exactly where your token budget goes. |
How it works
Install in 30 seconds
curl -fsSL https://nairon.ai/install | bash Onboard in 3 minutes
nb init Run your first scan
nb scan See where you stand
nb dashboard Your data. Your rules.
Reads your local files but never modifies them. Only computed metrics are stored - never raw content or code.
Find out your score.
Four commands. Under 5 minutes. Your entire engineering workflow, benchmarked.
$ curl -fsSL https://nairon.ai/install | sh $ nb init $ nb scan $ nb dashboard