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A dev.to writeup attributes 612.9M tokens and $28.35 to four days of DeepSeek Harness work on a C# arbitrary-precision library, and the part worth reading is how the agent checked its own rewrite.
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The export window runs seven calendar days [5] and holds 3,931 requests, which averages roughly 205,000 tokens per request [2]. Code does not come out of a model at that rate. That volume is context going in: the same source files, the same test output, re-read turn after turn while the harness walks the tree. What the published totals support is a blended rate and nothing finer. $28.35 across 612.9 million tokens is about 4.6 cents per million [1].
The bookkeeping is the part that earns trust. LovelaceSharp stopped on March 17 at commit 9b26f05 and had no activity until August 31 [6], which gives a clean baseline to diff against rather than a repository someone claims an AI wrote. The author also trims his own bill: the DeepSeek export covers August 30 through September 5, but only August 31 through September 3 is attributed to the burst, discarding 192.5 million tokens and $8.33 [4]. His headline reads 800 million tokens for $36 [15]. His method says 612.9 million and $28.35 [5]. Quote the second one.
The representation swap is the dangerous change, because every numeric type in the library sits on top of `Natural` [9]. Knowing Knuth Algorithm D is table stakes for a model of this class; it shipped alongside schoolbook and Karatsuba multiplication, short division, native carry/borrow and divide-and-conquer radix conversion [10]. The move that matters came after: tests aimed specifically at limb boundaries, plus a randomized differential suite run against `System.Numerics.BigInteger` with adversarial operands around 2^64 and 2^128 [11]. The author describes the useful behaviour as a loop, from changing the representation to identifying the new failure boundaries to constructing an independent oracle and cross-checking against it [12]. A differential suite is something a reviewer can rerun on a clean checkout, which is more than a token total offers. An exact two-prime NTT path for very large operands landed on top of the limb work [13].
For 4.6 cents per million to transfer, your per-request context has to look like this one: a working set small enough that re-reading it dominates the bill, priced on the same vendor's sheet during the same week. The oracle was free here, since `System.Numerics.BigInteger` already ships in the framework [11], which is a luxury the next REST endpoint does not have [14].
The library also carries a Lean project for formally verifying the underlying arithmetic model [3], and the author notes that formal proofs can prove something subtly different from what the optimized production implementation actually does [14]. On this run, the artifact that would catch a carry bug at 2^64 is the randomized differential suite, not the proof.
Ranked by verification strength, evidence, and original report placement.
The author argues that SWE-bench-style evaluations, which give an agent one issue and check whether a patch passes tests, are useful for comparing models but are not how he uses agents; he wants an agent to spend hours in a codebase, write requirements, implement, run tests, benchmark alternatives, discover its first idea was wrong, revise, and document.
The author gave DeepSeek Harness (DSH) plus DeepSeek V4 Pro a real project, LovelaceSharp, his attempt to build an arbitrary-precision mathematical environment in C#, and let it work over several days.
LovelaceSharp contains arbitrary-precision natural numbers, integers and real numbers, a scripting language, vectors and N-dimensional arrays, linear algebra, a web IDE, benchmarking tools, and a Lean project for formally verifying the underlying arithmetic model.
The author's complete DeepSeek export spans Aug 30 through Sep 5 and contains roughly 805.4M tokens, 3,931 requests and $36.68 of spending.
For the benchmark the author attributes only Aug 31 through Sep 3, the dates of the visible development burst on main, leaving 612.9M tokens and $28.35.
Old work on LovelaceSharp stopped on March 17 at commit 9b26f05, with no activity until August 31, when the new DSH-driven development started; the author says he is therefore not counting the previous implementation as work performed by DSH.
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1 article · September 5, 2026
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Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Strong on code, thin on billing
The repository side of this story is genuinely checkable: a named baseline commit, a 45-commit range, 193 changed files, and algorithm choices specific enough to falsify by reading the diff — Knuth Algorithm D, two-prime NTT, a differential suite against System.Numerics.BigInteger. The money side has no such handle. The 612.9M tokens and $28.35 are figures one person read off his own DeepSeek account, with no logs, no screenshots and no vendor statement, and dev.to is the only publisher carrying any of it.
A sample of one
One developer, one hobby mathematics library, four days. The usage is real rather than a demo — a $28 bill and nearly four thousand requests is sustained work, not a trial prompt — but there is no second operator or team rollout, and nothing indicating that the rewritten library is depended on by anything beyond its author's own repository.
Headline keeps the bigger number
The title sells 800 million tokens for $36, while the author's own attribution rule reduces the benchmark to 612.9M and $28.35 and sets aside two days of the export he declines to credit. He also concedes in his second breath that tokens are not productivity, and the body earns back much of the stretch by dwelling on the rewrite, the oracle and the crossover measurements. What remains overstated is the word benchmark for a run of one, defined and scored by its own operator.
Author sets his own scope
The benchmark, the codebase, the attribution window and the writeup all belong to the same person, and he alone chose which four of seven days to bill against the commits. No sponsorship or vendor relationship is disclosed or apparent, and the narrowing raises his implied cost per day rather than lowering it. What the choice protects is the tidiness of the $28-buys-45-commits pairing, which is also the line the headline is selling.
Half of it can be audited
Confidence splits along the same seam as the evidence. The engineering narrative is specific enough that fabricating it would be more work than doing it, and the diff is public. The billing totals cannot be tested at all, and with just one publisher and one operator, and no repeat run, there is nothing to triangulate against.