# AI Coding Field Notes

> 32 write-ups on what AI coding tools actually cost, and one dataset of every figure they cite. Published from https://xyzs996.github.io/ai-coding-field-notes/ under CC BY 4.0.

Every number in these notes traces back to a named source. Figures without one were cut before publishing.

## Dataset

- [Every published figure, 335 rows](https://xyzs996.github.io/ai-coding-field-notes/figures.html): prices, percentages, multiples, token counts and durations. Fields: `value`, `kind` (`price` / `percent` / `multiple` / `tokens` / `duration`), `unit`, `context`, `article`, `published`, `url`.
- [JSON](https://cdn.jsdelivr.net/gh/xyzs996/ai-coding-field-notes@main/data/figures.json): the same rows, machine-readable.
- [CSV](https://cdn.jsdelivr.net/gh/xyzs996/ai-coding-field-notes@main/data/figures.csv): the same rows, one line each.

## Every price figure (63)

Quoted, not paraphrased: each is the sentence it was published in, with the date it was published. Nothing here is a vendor price sheet — it is what a working developer wrote down about what they paid.

- **$0.19 per million tokens** — “Chinese AI models provide a cost-effective alternative to their American counterparts, with input costs as low as $0.19 per million tokens, compared to OpenAI's $5-12.” (2026-08-07) https://xyzs996.github.io/ai-coding-field-notes/articles/how-chinese-ai-agent-tools-leverage-1-6-billion-free-tokens.html
- **$1 per million tokens** — “They are priced at $1 per million tokens, with a gross profit margin of 10% - 20%.” (2026-08-07) https://xyzs996.github.io/ai-coding-field-notes/articles/how-chinese-ai-agent-tools-leverage-1-6-billion-free-tokens.html
- **$0.06 per million tokens** — “It offers a price range of $0.06-0.2 per million tokens, targeting global small and medium-sized enterprises and individual users.” (2026-08-07) https://xyzs996.github.io/ai-coding-field-notes/articles/how-chinese-ai-agent-tools-leverage-1-6-billion-free-tokens.html
- **$1.43 per run** — “One front-end benchmark put GPT-5.6 Sol at $1.43 per run against $9.05 for Fable 5.” (2026-08-19) https://xyzs996.github.io/ai-coding-field-notes/articles/1-6-billion-free-tokens-is-a-compression-ratio-not-a.html
- **$1 per million tokens** — “Top-tier Chinese models such as GLM5.2 and DeepSeek V4 Pro sit near $1 per million tokens at inference gross margins of 10% to 20%.” (2026-08-19) https://xyzs996.github.io/ai-coding-field-notes/articles/1-6-billion-free-tokens-is-a-compression-ratio-not-a.html
- **$0.06 per million** — “At the low end, MiniMax M3 runs $0.06 to $0.2 per million and draws 60% to 70% of its revenue from outside its home market.” (2026-08-19) https://xyzs996.github.io/ai-coding-field-notes/articles/1-6-billion-free-tokens-is-a-compression-ratio-not-a.html
- **$0.06 per million** — “A spread from $0.06 to $1 per million is more than 16x, and peak pricing adds another factor of 2 on top, which means the decision of which tier to route to on a Tuesday afternoon moves your bill further than any free quota can.” (2026-08-19) https://xyzs996.github.io/ai-coding-field-notes/articles/1-6-billion-free-tokens-is-a-compression-ratio-not-a.html
- **$1.25 per million** — “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.” (2026-08-19) https://xyzs996.github.io/ai-coding-field-notes/articles/1-6-billion-free-tokens-is-a-compression-ratio-not-a.html
- **$22,000 per month** — “StoryShort matched, in 3 months, the revenue that an established B2B tool took 2 years to build, with Stripe records showing about $22,000 a month and cumulative revenue approaching $500,000.” (2026-08-12) https://xyzs996.github.io/ai-coding-field-notes/articles/58-million-plays-started-with-one-account-not-four.html
- **$1.2 million** — “It was later listed for sale at $1.2 million on a 4.4 times annual revenue multiple, after a 30-day stretch where revenue came in 11% below the previous 30 days.” (2026-08-12) https://xyzs996.github.io/ai-coding-field-notes/articles/58-million-plays-started-with-one-account-not-four.html
- **$63,000 per month** — “Jordan's Resellbot started as 30 lines of JavaScript written because his partner was manually reposting listings every day, and it now runs at roughly $63,000 a month, which probably says more about picking a visible problem than about any distribution tactic.” (2026-08-12) https://xyzs996.github.io/ai-coding-field-notes/articles/58-million-plays-started-with-one-account-not-four.html
- **$500** — “Using AI tools to batch generate local SEO content reduces development costs for independent developers, accelerating website ranking on Google, after which the optimized site can be rented to local businesses for monthly revenue ranging from $500 to $3,000.” (2026-08-15) https://xyzs996.github.io/ai-coding-field-notes/articles/a-30-line-script-200-users-and-a-niche-nobody-wanted.html
- **$10,000** — “Sam Shore's experience with Typeshare, which shows how sharing equity with KOLs can accelerate growth, is a prime example; by granting three-fifths of his company's stock to two influential figures, he achieved a remarkable increase in monthly revenue, jumping from $10,000 to $15,000 in only 30 days.” (2026-08-15) https://xyzs996.github.io/ai-coding-field-notes/articles/a-30-line-script-200-users-and-a-niche-nobody-wanted.html
- **$150** — “The math only works if you sell 18 products at $150 each, every day.” (2026-08-15) https://xyzs996.github.io/ai-coding-field-notes/articles/a-30-line-script-200-users-and-a-niche-nobody-wanted.html
- **$150 per product** — “Resellbot's pricing model at $150 per product aligns with industry benchmarks for automation tools, ensuring competitiveness in the Micro-SaaS market.” (2026-08-15) https://xyzs996.github.io/ai-coding-field-notes/articles/a-30-line-script-200-users-and-a-niche-nobody-wanted.html
- **$6.3K per month** — “The $6.3K/month revenue shows that even with modest pricing, the tool captures meaningful demand in the Poshmark automation niche.” (2026-08-15) https://xyzs996.github.io/ai-coding-field-notes/articles/a-30-line-script-200-users-and-a-niche-nobody-wanted.html
- **$500 per month** — “You can build AI-generated local business websites, rent them to plumbers or dentists for $500–$3,000 a month, and scale to passive income.” (2026-08-10) https://xyzs996.github.io/ai-coding-field-notes/articles/ai-generated-local-business-websites-don-t-rent-for-3-000.html
- **$3,000** — “High-ticket services in low-competition cities often sit at the $3,000 end for websites that actually deliver customers.” (2026-08-10) https://xyzs996.github.io/ai-coding-field-notes/articles/ai-generated-local-business-websites-don-t-rent-for-3-000.html
- **$22,000 per month** — “Their Stripe records show $22,000 a month, proving that patience with organic strategies pays off.” (2026-08-10) https://xyzs996.github.io/ai-coding-field-notes/articles/ai-generated-local-business-websites-don-t-rent-for-3-000.html
- **$500 per month** — “The fastest documented case landed the first $500/month client at 12 weeks.” (2026-08-10) https://xyzs996.github.io/ai-coding-field-notes/articles/ai-generated-local-business-websites-don-t-rent-for-3-000.html
- **$500** — “If more than five paid ads appear above the organic results, the cost per lead will outstrip your $500–$3,000 margin.” (2026-08-10) https://xyzs996.github.io/ai-coding-field-notes/articles/ai-generated-local-business-websites-don-t-rent-for-3-000.html
- **$0** — “Outreach: $0 if you send the emails yourself; a monthly fee once you automate with Lemlist” (2026-08-10) https://xyzs996.github.io/ai-coding-field-notes/articles/ai-generated-local-business-websites-don-t-rent-for-3-000.html
- **$1 per million** — “Here is what thinking depth costs in practice, why project context rather than generated code drives most of the bill, and what the $1-per-million tier tells you about where this market is heading.” (2026-08-05) https://xyzs996.github.io/ai-coding-field-notes/articles/beyond-token-pricing-how-indie-devs-should-really-evaluate.html
- **$1 per million tokens** — “DeepSeek V4 Pro and GLM5.2 charge roughly $1 per million tokens and reportedly run at a 10 to 20 percent margin.” (2026-08-05) https://xyzs996.github.io/ai-coding-field-notes/articles/beyond-token-pricing-how-indie-devs-should-really-evaluate.html
- **$19 billion** — “Anthropic signed a data center lease reported at $19 billion, which is the kind of commitment that only makes sense if compute, not model architecture, is the constraint that decides who is still standing in five years.” (2026-08-05) https://xyzs996.github.io/ai-coding-field-notes/articles/beyond-token-pricing-how-indie-devs-should-really-evaluate.html
- **$1** — “My reading, and I could be wrong about the timing, is that the $1 tier holds while that build-out is being financed and that the pressure surfaces later as capacity limits rather than as price rises.” (2026-08-05) https://xyzs996.github.io/ai-coding-field-notes/articles/beyond-token-pricing-how-indie-devs-should-really-evaluate.html
- **$19 billion** — “Anthropic is not signing a $19 billion lease in order to cut prices in the next 12 months.” (2026-08-05) https://xyzs996.github.io/ai-coding-field-notes/articles/beyond-token-pricing-how-indie-devs-should-really-evaluate.html
- **$9.05 per run** — “Fable 5, the cheapest option at $9.05 per run, delivers only 41.2% accuracy in React projects.” (2026-08-12) https://xyzs996.github.io/ai-coding-field-notes/articles/choosing-the-right-ai-model-for-coding-cost-vs-efficiency.html
- **$1.43 per run** — “In contrast, GPT-5.6 Sol, at $1.43 per run, achieves 43.1% accuracy in the same tests, suggesting that while cheaper models may save money upfront, they often result in longer, more costly development processes.” (2026-08-12) https://xyzs996.github.io/ai-coding-field-notes/articles/choosing-the-right-ai-model-for-coding-cost-vs-efficiency.html
- **$9.05 per run** — “The most affordable AI model option, Fable 5, costs just $9.05 per run, but delivers only 41.2% accuracy in React projects.” (2026-08-12) https://xyzs996.github.io/ai-coding-field-notes/articles/choosing-the-right-ai-model-for-coding-cost-vs-efficiency.html
- **$1.43 per run** — “For instance, GPT-5.6 Sol, while more expensive at $1.43 per run, shows superior performance with a 43.1% accuracy rate in the same ReactBench tests, which shows that cheaper models may save money upfront but can lead to longer development cycles due to frequent errors and rework.” (2026-08-12) https://xyzs996.github.io/ai-coding-field-notes/articles/choosing-the-right-ai-model-for-coding-cost-vs-efficiency.html
- **$3 per million input tokens** — “The $3 per million input tokens price point means developers should carefully evaluate whether the premium model's capabilities justify the increased costs for their specific use cases.” (2026-08-12) https://xyzs996.github.io/ai-coding-field-notes/articles/choosing-the-right-ai-model-for-coding-cost-vs-efficiency.html
- **$400 per month** — “A six-hour Chrome extension pays $400 a month.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$3 per month** — “Roughly 10% of them pay $3 a month for the premium tier.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$3** — “The $3 tier adds multi-word replacement, regex matching, and per-site rules.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$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.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$9.90** — “The sweet spot for a tool-shaped micro-SaaS in North America sits somewhere between $9.90 and $49 a month, but that range is a result rather than an opening decision.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$19** — “You do not set $19 and wait for buyers.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$19** — “You find buyers, and $19 turns out to be what they will pay.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$44,000** — “Then it sold a subscription around quitting, and reached $44,000 in monthly revenue without ever being a general health app.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$125K** — “It embedded a boring feature, the survey, into the one moment when an e-commerce buyer is honest, and got to $125K MRR.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$55k** — “James Dunn paired GPS trackers with a team that physically goes out and recovers stolen bikes, which is precisely the unpleasant part nobody wants to copy, and the thing runs at $55k MRR.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$500 per month** — “Generating local SEO content at volume gets a small site ranking sooner, and sites like that rent to local businesses for $500 to $3,000 a month each.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$3** — “Those six hours sat on top of a decision to keep every rule client-side, which is what made a $3 subscription at a 10% conversion rate profitable instead of merely busy.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$400** — “Zero servers meant all $400 stayed.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html
- **$500** — “Independent developers are using AI to mass-produce local SEO content and build vertical service sites, packaging them into "digital properties" and renting them to local businesses for monthly rent between $500 and $3,000.” (2026-08-20) https://xyzs996.github.io/ai-coding-field-notes/articles/how-indie-developers-are-building-ai-powered-digital.html
- **$1,000,000** — “Divide $1,000,000 by 12 months and you get $83,333 a month, which breaks down to $2,777 a day.” (2026-08-20) https://xyzs996.github.io/ai-coding-field-notes/articles/how-indie-developers-are-building-ai-powered-digital.html
- **$150** — “You can reach that daily number by selling 18 copies of a $150 product, or by scaling higher-ticket services across a handful of properties.” (2026-08-20) https://xyzs996.github.io/ai-coding-field-notes/articles/how-indie-developers-are-building-ai-powered-digital.html
- **$150** — “At a standard 2.5% landing page conversion rate, you need roughly 720 unique visitors every single day just to move those 18 orders at $150 each.” (2026-08-20) https://xyzs996.github.io/ai-coding-field-notes/articles/how-indie-developers-are-building-ai-powered-digital.html
- **$10,000** — “Convincing a single commercial roofing contractor that your site can send $10,000 worth of monthly leads for a $1,000 monthly rental fee is an infinitely cleaner conversation.” (2026-08-20) https://xyzs996.github.io/ai-coding-field-notes/articles/how-indie-developers-are-building-ai-powered-digital.html
- **$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.” (2026-08-20) https://xyzs996.github.io/ai-coding-field-notes/articles/how-indie-developers-are-building-ai-powered-digital.html
- **$10,000** — “Sam Shore handed roughly two-thirds of Typeshare's equity to two people with established audiences, Dickie and Cole, and monthly revenue moved from $10,000 to $15,000 inside 30 days.” (2026-08-17) https://xyzs996.github.io/ai-coding-field-notes/articles/how-to-build-a-micro-saas-without-spending-a-dime-on-ads.html
- **$30 per day** — “With a budget as low as $30 per day, developers have reached an effective lead cost of $3 to $4.” (2026-08-20) https://xyzs996.github.io/ai-coding-field-notes/articles/stop-reading-similarweb-like-a-traffic-dashboard-read-it.html
- **$40 million** — “Klarna's AI customer service experiment, which replaced 700 human agents, initially saved $40 million in a year, but the quality of service suffered so badly that they had to rehire humans, leading the CEO to admit they "went too far" with automation after 12 months.” (2026-08-10) https://xyzs996.github.io/ai-coding-field-notes/articles/the-klarna-lesson-why-ai-implementation-needs-a-staircase.html
- **$1.43** — “A single run costs about $1.43 on the first and $9.05 on the second.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/the-two-best-ai-code-reviewers-score-the-same-one-costs-1.html
- **$1.43** — “$1.43 against $9.05, per run, on the same benchmark.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/the-two-best-ai-code-reviewers-score-the-same-one-costs-1.html
- **$1.43** — “The $1.43 and the $9.05 are both frontier models doing a job they were not specifically built for.” (2026-08-21) https://xyzs996.github.io/ai-coding-field-notes/articles/the-two-best-ai-code-reviewers-score-the-same-one-costs-1.html
- **$4 million per year** — “Klarna reported $4 million a year in savings and a 99.96 percent conversation engagement rate, the kind of pair of numbers that ends an internal debate before it starts.” (2026-08-16) https://xyzs996.github.io/ai-coding-field-notes/articles/when-ai-customer-service-backfired-klarna-s-case-and-the.html
- **$4 million** — “Klarna ran that sequence backwards, and the $4 million showed up on the books months before the CSAT number showed up to argue with it.” (2026-08-16) https://xyzs996.github.io/ai-coding-field-notes/articles/when-ai-customer-service-backfired-klarna-s-case-and-the.html
- **$4 million** — “The company reported $4 million in annual savings after the switch, which is the number that frees up budget for everything else on the roadmap.” (2026-08-16) https://xyzs996.github.io/ai-coding-field-notes/articles/when-ai-customer-service-backfired-klarna-s-case-and-the.html
- **$4 million** — “This is one company, one quarter, and Klarna had reasons to publish both the $4 million and the retraction that have nothing to do with what works for a team of one.” (2026-08-16) https://xyzs996.github.io/ai-coding-field-notes/articles/when-ai-customer-service-backfired-klarna-s-case-and-the.html
- **$1 million** — “The revenue arithmetic behind a $1 million annual target is simple enough to do on a napkin.” (2026-08-11) https://xyzs996.github.io/ai-coding-field-notes/articles/why-your-indie-app-needs-short-form-video-marketing-and-how.html
- **$150** — “Selling 18 units of a $150 product every day gets you there, and 18 daily sales at a 2.5 percent landing-page conversion rate requires roughly 720 visitors a day.” (2026-08-11) https://xyzs996.github.io/ai-coding-field-notes/articles/why-your-indie-app-needs-short-form-video-marketing-and-how.html

## By provider

Every figure whose quoted sentence names that provider, on one page, each with the date the write-up went out. None of these is a vendor price sheet — read every row as of its own date. Klarna is not a vendor here but a company these write-ups are about; those rows are what it did, not what it charges.

- [GPT-5.6](https://xyzs996.github.io/ai-coding-field-notes/providers/gpt-5-6.html): 18 figures from 4 write-ups.
- [Klarna](https://xyzs996.github.io/ai-coding-field-notes/providers/klarna.html): 9 figures from 2 write-ups.
- [BrowserAct](https://xyzs996.github.io/ai-coding-field-notes/providers/browseract.html): 7 figures from 7 write-ups.
- [Claude](https://xyzs996.github.io/ai-coding-field-notes/providers/claude.html): 7 figures from 4 write-ups.
- [WorkBuddy](https://xyzs996.github.io/ai-coding-field-notes/providers/workbuddy.html): 7 figures from 7 write-ups.
- [Fable 5](https://xyzs996.github.io/ai-coding-field-notes/providers/fable-5.html): 6 figures from 3 write-ups.
- [ChatGPT](https://xyzs996.github.io/ai-coding-field-notes/providers/chatgpt.html): 4 figures from 4 write-ups.

## Topics

- [Indie Development](https://xyzs996.github.io/ai-coding-field-notes/topics/indie-development.html): 12 write-ups.
- [Automation Systems](https://xyzs996.github.io/ai-coding-field-notes/topics/automation-systems.html): 10 write-ups.
- [SaaS Business](https://xyzs996.github.io/ai-coding-field-notes/topics/saas-business.html): 7 write-ups.
- [AI Costs](https://xyzs996.github.io/ai-coding-field-notes/topics/ai-costs.html): 6 write-ups.
- [AI Implementation](https://xyzs996.github.io/ai-coding-field-notes/topics/ai-implementation.html): 6 write-ups.
- [Niche Market](https://xyzs996.github.io/ai-coding-field-notes/topics/niche-market.html): 6 write-ups.
- [AI Programming](https://xyzs996.github.io/ai-coding-field-notes/topics/ai-programming.html): 5 write-ups.
- [Cost Savings](https://xyzs996.github.io/ai-coding-field-notes/topics/cost-savings.html): 5 write-ups.
- [Productivity](https://xyzs996.github.io/ai-coding-field-notes/topics/productivity.html): 5 write-ups.
- [Development Tools](https://xyzs996.github.io/ai-coding-field-notes/topics/development-tools.html): 4 write-ups.
- [AI Features](https://xyzs996.github.io/ai-coding-field-notes/topics/ai-features.html): 3 write-ups.
- [AI Tools](https://xyzs996.github.io/ai-coding-field-notes/topics/ai-tools.html): 3 write-ups.
- [Artificial Intelligence](https://xyzs996.github.io/ai-coding-field-notes/topics/artificial-intelligence.html): 3 write-ups.
- [Chinese AI](https://xyzs996.github.io/ai-coding-field-notes/topics/chinese-ai.html): 3 write-ups.
- [Code Review](https://xyzs996.github.io/ai-coding-field-notes/topics/code-review.html): 3 write-ups.
- [Micro SaaS](https://xyzs996.github.io/ai-coding-field-notes/topics/micro-saas.html): 3 write-ups.
- [Token Optimization](https://xyzs996.github.io/ai-coding-field-notes/topics/token-optimization.html): 3 write-ups.

## Write-ups

- [How Chinese AI Agent Tools Leverage 1.6 Billion Free Tokens](https://xyzs996.github.io/ai-coding-field-notes/articles/how-chinese-ai-agent-tools-leverage-1-6-billion-free-tokens.html): Chinese AI agent tools offer a game-changing strategy for independent developers to access a massive pool of 1.6 billion free tokens monthly.
- [The Cost-Effective Guide to Using Open Code Review for AI Programming Tools](https://xyzs996.github.io/ai-coding-field-notes/articles/the-cost-effective-guide-to-using-open-code-review-for-ai.html): Open Code Review is an open-source review tool built for AI-assisted development, and in benchmark tests spanning 200 real pull requests across 50 open-source repositories it scored higher on both…
- [1.6 Billion Free Tokens Is a Compression Ratio, Not a Strategy](https://xyzs996.github.io/ai-coding-field-notes/articles/1-6-billion-free-tokens-is-a-compression-ratio-not-a.html): OmniRoute aggregates 237 providers and advertises roughly 1.6 billion free tokens a month, and that figure is arithmetic rather than a promotion, because the RTK+Caveman layer compresses 10,000 tok…
- [58 Million Plays Started With One Account, Not Four](https://xyzs996.github.io/ai-coding-field-notes/articles/58-million-plays-started-with-one-account-not-four.html): Two brothers ran a single short-video account until one piece of content took off, and only then copied it across several accounts, which is how the cumulative play count passed 58 million.
- [A 30-Line Script, 200 Users, and a Niche Nobody Wanted](https://xyzs996.github.io/ai-coding-field-notes/articles/a-30-line-script-200-users-and-a-niche-nobody-wanted.html): "Solving a niche problem is the secret to building a profitable Micro-SaaS." This common advice ignores the power of focusing on a single, well-defined pain point in a specific market.
- [AI Agent Loop Engineering: Karpathy's Method for 5x Productivity Gains](https://xyzs996.github.io/ai-coding-field-notes/articles/ai-agent-loop-engineering-karpathy-s-method-for-5x.html): A developer in China’s AI community achieved 5x productivity gains using loop engineering, reducing MVP development time from four prompt tuning sessions to a single command installation.
- [AI Programming Tool Selection Strategy: From Rapid Prototyping to Long-term Collaboration](https://xyzs996.github.io/ai-coding-field-notes/articles/ai-programming-tool-selection-strategy-from-rapid.html): A specialized code review agent beat Claude Code on accuracy across 200 real pull requests and 50 open-source repositories while burning about one-ninth the tokens.
- [AI-Generated Local Business Websites Don't Rent for $3,000/Month (Until You Do This)](https://xyzs996.github.io/ai-coding-field-notes/articles/ai-generated-local-business-websites-don-t-rent-for-3-000.html): You can build AI-generated local business websites, rent them to plumbers or dentists for $500–$3,000 a month, and scale to passive income.
- [Best Practices for AI Agent Skill Management](https://xyzs996.github.io/ai-coding-field-notes/articles/best-practices-for-ai-agent-skill-management.html): Managing AI Agent skills is not merely about tools; it's about designing workflows to boost your productivity.
- [Beyond Chat: How Codex Can Automate Your Word/Excel/PPT/PDF Workflows](https://xyzs996.github.io/ai-coding-field-notes/articles/beyond-chat-how-codex-can-automate-your-word-excel-ppt-pdf.html): Codex's office automation capabilities, which are severely underestimated, can be transformed into powerful document processing agents, as shown by real-world developers, one of whom automated PDF…
- [Beyond Token Pricing: How Indie Devs Should Really Evaluate AI Model Costs](https://xyzs996.github.io/ai-coding-field-notes/articles/beyond-token-pricing-how-indie-devs-should-really-evaluate.html): Microsoft's evaluation of Kimi K3 landed on a number that should change how you read a pricing page: about 60 percent of the cost difference between models comes from the thinking depth a task requ…
- [Boosting AI Bot Conversion: A Deep Dive into Funnel Data](https://xyzs996.github.io/ai-coding-field-notes/articles/boosting-ai-bot-conversion-a-deep-dive-into-funnel-data.html): 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 us…
- [Choosing the Right AI Model for Coding: Cost vs. Efficiency](https://xyzs996.github.io/ai-coding-field-notes/articles/choosing-the-right-ai-model-for-coding-cost-vs-efficiency.html): Fable 5, the cheapest option at $9.05 per run, delivers only 41.2% accuracy in React projects.
- [Debunking the Myth of Overnight Success in Micro-SaaS](https://xyzs996.github.io/ai-coding-field-notes/articles/debunking-the-myth-of-overnight-success-in-micro-saas.html): A six-hour Chrome extension pays $400 a month.
- [From AI Demo to Product: Loop Engineering for Indie Devs](https://xyzs996.github.io/ai-coding-field-notes/articles/from-ai-demo-to-product-loop-engineering-for-indie-devs.html): The agent processes 40-plus podcast channels overnight, transcribed and summarized, ready to read by morning.
- [How Chinese Developers Are Using Codex Record & Replay to Streamline Repetitive Workflows](https://xyzs996.github.io/ai-coding-field-notes/articles/how-chinese-developers-are-using-codex-record-replay-to.html): A monthly report that used to take four hours now takes a few minutes.
- [How Indie Developers Are Building AI-Powered "Digital Landlords" and Renting Them Out for Monthly Cash Flow](https://xyzs996.github.io/ai-coding-field-notes/articles/how-indie-developers-are-building-ai-powered-digital.html): Independent developers are using AI to mass-produce local SEO content and build vertical service sites, packaging them into "digital properties" and renting them to local businesses for monthly ren…
- [How to Build a Micro-SaaS Without Spending a Dime on Ads](https://xyzs996.github.io/ai-coding-field-notes/articles/how-to-build-a-micro-saas-without-spending-a-dime-on-ads.html): Jordan posted an introduction thread across 3 Reddit sub-boards and had 200 people asking for access within days, at zero cost, and those users stuck around better than the paid traffic he never bo…
- [MonkeyCode: The Open-Source AI Coding Platform With 900 Million Free Tokens](https://xyzs996.github.io/ai-coding-field-notes/articles/monkeycode-the-open-source-ai-coding-platform-with-900.html): MonkeyCode's free tier includes 900 million tokens, deploys to your own network with 1 command, and ships as open source you can read.
- [Stop Chatting With AI: How I Use /loop and /hook to Automate My Indie Dev Workflow](https://xyzs996.github.io/ai-coding-field-notes/articles/stop-chatting-with-ai-how-i-use-loop-and-hook-to-automate.html): If you run a solo dev shop, the day goes to fragmented feeds, forty open tabs, and backend maintenance that eats the hours meant for product logic.
- [Stop Reading SimilarWeb Like a Traffic Dashboard — Read It Like a Feasibility Test](https://xyzs996.github.io/ai-coding-field-notes/articles/stop-reading-similarweb-like-a-traffic-dashboard-read-it.html): Most indie developers open SimilarWeb, look at the big monthly visits number, and close the tab.
- [The 5 AI Features That Separated 27 Profitable Solopreneurs From the Rest](https://xyzs996.github.io/ai-coding-field-notes/articles/the-5-ai-features-that-separated-27-profitable-solopreneurs.html): Of the 27 AI-powered micro-SaaS projects that generated predictable monthly revenue in a recent analysis, every profitable one used at least three of the same five architectural components.
- [The AI Branding Revolution: How Indie Developers Are Ditching Design Costs with AI](https://xyzs996.github.io/ai-coding-field-notes/articles/the-ai-branding-revolution-how-indie-developers-are.html): Chris launched WiseMindAI last year and came out of a single session with Miora's brand visual template holding more than ten finished assets, covering color schemes, typography and social graphics…
- [The First Line of Defense in AI Programming: Environment Variable Management](https://xyzs996.github.io/ai-coding-field-notes/articles/the-first-line-of-defense-in-ai-programming-environment.html): MonkeyCode ships with 900 million free tokens and supports private deployment, which tells you exactly what its users are doing: pointing an AI coding tool at their own keys, on their own infrastru…
- [The Hidden Costs of GPT-5.6 Model Selection: A Developer's Real-World Guide](https://xyzs996.github.io/ai-coding-field-notes/articles/the-hidden-costs-of-gpt-5-6-model-selection-a-developer-s.html): "Choosing the right GPT-5.6 model for your business is more about avoiding cost overruns than just picking the cheapest option."
- [The Klarna Lesson: Why AI Implementation Needs a Staircase, Not a Leap](https://xyzs996.github.io/ai-coding-field-notes/articles/the-klarna-lesson-why-ai-implementation-needs-a-staircase.html): Klarna's AI customer service experiment, which replaced 700 human agents, initially saved $40 million in a year, but the quality of service suffered so badly that they had to rehire humans, leading…
- [The Two Best AI Code Reviewers Score the Same. One Costs $1.43 a Run, the Other $9.05.](https://xyzs996.github.io/ai-coding-field-notes/articles/the-two-best-ai-code-reviewers-score-the-same-one-costs-1.html): On ReactBench, GPT 5.6 Sol and Fable 5 posted Pass@1 scores of 43.1% and 41.2%.
- [Token Optimization for Indie Developers' AI API Bills](https://xyzs996.github.io/ai-coding-field-notes/articles/token-optimization-for-indie-developers-ai-api-bills.html): In July 2026, while indie developers building AI coding products full-time watched their API burn rate climb toward their revenue, a quieter shift in the Chinese developer stack showed a different…
- [When AI Customer Service Backfired: Klarna’s Case and the Four-Stage Path to Enterprise AI Adoption](https://xyzs996.github.io/ai-coding-field-notes/articles/when-ai-customer-service-backfired-klarna-s-case-and-the.html): Klarna reported $4 million a year in savings and a 99.96 percent conversation engagement rate, the kind of pair of numbers that ends an internal debate before it starts.
- [Why Pi's 1000-Token Agent Engine Needs a Sandbox Before You Touch It](https://xyzs996.github.io/ai-coding-field-notes/articles/why-pi-s-1000-token-agent-engine-needs-a-sandbox-before-you.html): Pi's system prompt and its 4 tool descriptions come to under 1,000 tokens, which is the whole reason to like it.
- [Why Stripping 80% of System Prompts Actually Improved Claude Code's Performance](https://xyzs996.github.io/ai-coding-field-notes/articles/why-stripping-80-of-system-prompts-actually-improved-claude.html): 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 Your Indie App Needs Short-Form Video Marketing (And How to Get Started)](https://xyzs996.github.io/ai-coding-field-notes/articles/why-your-indie-app-needs-short-form-video-marketing-and-how.html): The videos run about 60 seconds.
## Questions answered in full, with the figures behind them

- **AI agent loop engineering: what does the 5x claim actually measure?** — every figure published about running an agent in a loop instead of re-prompting it — including the one the write-up itself refuses. https://github.com/xyzs996/ai-coding-field-notes/discussions/2
- **Which Chinese AI agent tools are actually free for coding, and what do they cost once they are not?** — the per-million input prices behind the free-token grants, each kept with the sentence and the date it was published in. https://github.com/xyzs996/ai-coding-field-notes/discussions/3
- **Which AI programming tool should I pick — and does the 70% time-saving figure apply to me?** — why that one widely-quoted time-saving figure holds for one kind of reader and is close to meaningless for the other. https://github.com/xyzs996/ai-coding-field-notes/discussions/4
- **Two AI code reviewers score within two points. One costs a sixth as much per run.** — both benchmark scores and both per-run prices side by side, with the vendor self-reports marked as such. https://github.com/xyzs996/ai-coding-field-notes/discussions/5
- **What does a coding agent actually cost per month — and which figure on the pricing page is the one that moves it?** — every published per-million price this repo has collected, and why the one that decides the bill is usually not on the page. https://github.com/xyzs996/ai-coding-field-notes/discussions/6
- **Klarna saved $4M replacing 700 agents, then rehired. Which number arrived first, and which one would have warned you?** — the savings, the satisfaction drop and the months between them, in the order they were published. https://github.com/xyzs996/ai-coding-field-notes/discussions/7
- **What does a one-person software product actually make — and how many months before it made anything?** — the published monthly revenue figures next to the months each one took to get there, including the eighteen-month one. https://github.com/xyzs996/ai-coding-field-notes/discussions/8
- **Short video for indie products: 95% organic sounds great until you ask how many hours a week it costs** — the reach figures next to the weekly hour counts behind them, and why an organic share with no denominator is not a result. https://github.com/xyzs996/ai-coding-field-notes/discussions/9

## Optional

- [Atom feed](https://xyzs996.github.io/ai-coding-field-notes/feed.xml): new notes as they are published.
- [Request a figure](https://github.com/xyzs996/ai-coding-field-notes/discussions/1): which metric, which provider, which unit — replies get turned into rows.
- [Corrections](https://github.com/xyzs996/ai-coding-field-notes/issues/new/choose): a number that moved, or a source that died.

## Elsewhere

- [https://xyzs996.github.io/free-llm-api/llms.txt](https://xyzs996.github.io/free-llm-api/llms.txt): which LLM APIs still have a free tier, and what the limit is: every figure dated and linked to the page it was read from.
- [https://xyzs996.github.io/free-proxy-health-list/llms.txt](https://xyzs996.github.io/free-proxy-health-list/llms.txt): free HTTP/SOCKS proxies, re-checked and re-published on a schedule, as TXT, JSON and CSV.
- [https://xyzs996.github.io/iptv-doctor/llms.txt](https://xyzs996.github.io/iptv-doctor/llms.txt): which public IPTV channels answer right now, per country and per channel. No stream URL is published.