AI Coding Field Notes
Open dataset of what AI coding agents cost: token pricing, per-million rates, and every published figure (prices, percentages, multiples, token counts and durations) as JSON and CSV. Figures are one row each, carrying the sentence they came from. Plus the field notes behind the numbers.
AI 코딩 에이전트의 실제 비용: 335개 수치, 모두 출처 문장과 날짜 포함
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공개 데이터셋입니다. 32편의 현장 기록에 나온 모든 수치 —— 가격, 비율, 배수, 토큰 수, 소요 시간 —— 를 한 줄씩 뽑아내고 원래 문장 전체와 게시 날짜를 함께 실었습니다.
수치 먼저
아래 줄들은 영어 원문 그대로이며 번역하지 않았습니다. 수치는 원래 문장에서 떼어내면 검증할 수 없기 때문입니다 —— $1.43이 100만 토큰당인지, 월 요금인지, 좌석당인지는 그 문장에만 적혀 있습니다.
| Figure | The sentence it came from | Write-up |
|---|---|---|
$1.43 |
The $1.43 and the $9.05 are both frontier models doing a job they were not specifically built for. | The Two Best AI Code Reviewers Score the Same. One Costs $1.43 a Run, the Other $9.05. |
$29 |
Before writing a contract-comparison tool, one builder handled three to ten comparisons by hand at $29 a document, and only turned the routine into software once the same people kept coming back and paying for it. | Debunking the Myth of Overnight Success in Micro-SaaS |
90% |
90% of developers still rely on manual prompt writing, while top performers use Skill Package to automate 80% of repetitive tasks, saving hours weekly. | Best Practices for AI Agent Skill Management |
80% |
When the Claude Code team decided to slash 80% of their system prompts, most developers expected the model to lose its edge in complex engineering tasks. | Why Stripping 80% of System Prompts Actually Improved Claude Code’s Performance |
$30 |
With a budget as low as $30 per day, developers have reached an effective lead cost of $3 to $4. | Stop Reading SimilarWeb Like a Traffic Dashboard — Read It Like a Feasibility Test |
$1,000 |
Instead of chasing a 2.5% consumer conversion rate across unpredictable social channels, you sell a single $1,000 to $5,000 service package directly to one business owner — no massive ad campaigns, no hundreds of low-tier support tickets. | How Indie Developers Are Building AI-Powered “Digital Landlords” and Renting Them Out for Monthly Cash Flow |
40-second |
When an independent developer uses Agency Agents to set up a 40-second response cycle for e-commerce listings, they are building a feedback loop that reads market conditions and adjusts, which is what separates a timed automation from a script on a timer. | Stop Chatting With AI: How I Use /loop and /hook to Automate My Indie Dev Workflow |
9.1% |
One reported case moved entry-group conversion from 9.1% to 55.1% by rebuilding an automated onboarding flow around what the funnel data actually showed, rather than around what the team assumed users were doing. | Boosting AI Bot Conversion: A Deep Dive into Funnel Data |
$1.25 |
Meta priced Muse Spark 1.1 at $1.25 per million input and $4.25 per million output, roughly 75% and 83% below Anthropic’s Opus, and the tradeoff is visible in the benchmarks, since it leads on MCP Atlas and JobBench while trailing on SWE-Bench Pro and DeepSWE 1.1. | 1.6 Billion Free Tokens Is a Compression Ratio, Not a Strategy |
9x |
Open Code Review reports roughly 9x lower token consumption than general-purpose agents while holding accuracy, which suggests that a specialized agent aimed at one job often beats a heavy generalist on the only axis an indie developer can afford to optimize. | Token Optimization for Indie Developers’ AI API Bills |
87 percent |
The 87 percent figure and those two cases are measuring the same thing from different angles, which is time spent moving data by hand between a system that knows the answer and a system that needs it. | The 5 AI Features That Separated 27 Profitable Solopreneurs From the Rest |
40 seconds |
By using an AI agent to automate responses, negotiation, and price adjustment, the average response time can be reduced to within 40 seconds. | From AI Demo to Product: Loop Engineering for Indie Devs |
curl -s https://cdn.jsdelivr.net/gh/xyzs996/ai-coding-field-notes@main/data/figures.json
curl -s https://cdn.jsdelivr.net/gh/xyzs996/ai-coding-field-notes@main/data/figures.csv
published는 그 기록을 게시한 날이지 그 가격이 유효하던 날이 아닙니다. 가격은 계속 바뀌므로 각 줄은 그 줄 자신의 날짜 기준으로 읽으십시오.
본문
본문은 영어이며 여기 있습니다: https://xyzs996.github.io/ai-coding-field-notes/ —— 수치 표, 주제별 페이지, 업체별 페이지가 있습니다. 수치만 필요하다면 위의 curl 두 줄이면 충분합니다.
한마디
- 이 저장소에 별을 누르면 갱신을 따라갈 수 있습니다. 데이터는 CC BY라서 별과 무관하게 무엇이든 하실 수 있습니다.
- 수치가 틀렸나요? 가격이 바뀌었거나 직접 재보니 다른 값이 나왔다면 issue를 열어 주십시오. 이 저장소는 그러라고 있습니다. (issue)
- 원하는 수치가 없나요? 어떤 지표를, 어느 업체의, 어떤 단위로 —— 한 줄이면 됩니다. 필수 항목은 하나뿐이고, 들어온 요청은 새 줄이 됩니다. (form)
CC BY 4.0: 복제, 재게시, 가공, 판매 모두 자유입니다. 조건은 하나, 출처를 밝히는 것 —— https://xyzs996.github.io/ai-coding-field-notes/ 링크면 됩니다.