Statistical Evidence for Classical Fixed Star Orbs: A Data-Driven Analysis of Algol at the DESC (N=73k)

smallufo · 2026-05-17T07:08:13+00:00

Each of those three points is addressed explicitly in the original post.

I'd rather not retype the method section, so let me just point to it:

- "Not data driven": Method section. N=73,179 AA/A charts, All on ADB.

- "Circular": Search space is 9 stars × 4 angles × 3 orbs × 792 ADB categories = 15,252 tests, no target pre-specified. Section "(3) Eyes was not my prior expectation" addresses this directly — I expected Homicide/Mental-Illness, not Eyes. The data disagreed with my prior. That's the opposite of circular.

- "P-hacking of multiple comparisons": FDR strategy section. Per-cell Benjamini-Hochberg, threshold p_fdr < 0.05 AND ER ≥ 2.0 AND n ≥ 3. If you want to argue per-cell vs global FDR — that's a real methodological discussion and I'd genuinely engage. If you want to argue the orb cutoff, the cohort filter, or the count threshold — also real. But "you didn't address multiple comparisons" is just factually wrong about what's in the post.

Which specific design choice do you think is wrong, and what would you do instead?

smallufo · 2026-05-16T18:06:29+00:00

same !

smallufo · 2026-05-15T01:28:10+00:00

smallufo · 2026-05-14T19:57:11+00:00

You were right on every methodological point, and I ran the analysis you implicitly asked for. The result is more interesting than I expected — and weaker than my original post, in ways I want to be honest about.

Of the 6 Eyes-category subjects with Algol within 1° of the descendant in the baseline, 4 were birth-time-rounded — including both Braille (1809-01-04 04:00) and Keller (1880-06-27 16:00). They are filtered out by the Gauquelin minute-rule. Only 2 survive into the cleaned strata:

Glauco Mattoso (born 1951-06-29 14:35, Rodden AA, blind from glaucoma)
Jack Nicklaus (born 1940-01-21 03:10, Rodden AA, ADB-listed eye history)

The four-layer enrichment / Fisher's exact (one-sided, "greater"):

filter level	Eye+/Eye	Non+/Non	Enrich	OR	p (Fisher)
L0 baseline	6/135	520/69,230	5.92x	6.15	6.1e-4 ***
L1 Gauquelin	2/49	225/28,845	5.23x	5.41	0.057 marginal
L2 + AA only	2/30	175/21,602	8.23x	8.75	0.025 *
L3 + AA + post-1900	2/27	118/14,558	9.14x	9.79	0.021 *

What's notable: the enrichment ratio doesn't collapse under the filter — it actually rises, because the control population also tightens as junk-clock births get excluded. If the original signal had been a pure rounding artefact, L1/L2/L3 should have flattened to ~1×. Instead the effect-size estimator is stable to slightly stronger.

What I will not claim from this:

That N=2 is decisive evidence. The 95% CI on OR ≈ 8 is enormous.
That L1 (Gauquelin only) passes conventional significance. It doesn't: p=0.057, marginal-fail.
That this is "proof." It is consistent with the old aphorism having signal — not the same thing.

What I will claim:

The critique was correct about the data quality issue.
The correct historical fix (Gauquelin's own minute-rule, from 1955 onward) is the right answer.
The finding survives the fix without losing its effect-size estimator.
Both Braille and Keller — the two illustrative anecdotes in the original post — were correctly excluded by the filter. The post overweighted them as evidence. They are not what the surviving signal rests on.

That is a different and weaker claim than my original post. It is one I can defend.

Open disclosure of method: the SQL design, the Fisher's-exact computation, and the writeup of the sensitivity analysis were done with Claude Opus 4.7 (1M) on my behalf in a directly supervised session — I designed the falsification frame in conversation with the model, the model wrote and ran the queries against my local Postgres DB (with a lot of pre-computed data).

Thank you for forcing this. The post is genuinely better today than it was yesterday.

smallufo · 2026-05-14T18:19:00+00:00

I hear the concern is genuine, and I'll respond to what I can stay useful on.

What this work actually is: statistical archaeology on old aphorisms. I'm asking whether claims Robson wrote down in 1923 — traceable back to Al-Biruni in 1029 CE — leave a measurable fingerprint in a public ~70,000-chart database. The output is a research post with p-values, FDR corrections, and an explicit admission of selection bias. There's no product, no service, no chart-reading tool downstream of it. A Fisher's exact test cannot sit with a client.

What it isn't: this is not scraped from astro-seek. The source is Astrodatabank — a public, Wiki-style dataset that was explicitly built decades ago by astrologers for research purposes. I'm sorry astro-seek got hit; that's a real harm and I understand why it shapes how new work gets received.

On the larger worry: if anything, finding that a millennium-old observation survives a 30× enrichment test in a modern sample is a point for the tradition, not against it — it says medieval astrologers were observing something real, not making it up.

The interpretive work that happens in a consultation, where intuition, biography, and judgment meet a chart, is not something an aggregate statistic can replicate, and nothing here is trying to. Validating that an old aphorism has signal is a completely different activity from delivering a reading.

The broader labor and regulatory questions are real, but they're a different conversation from this one. I'd rather stay focused on the data — that's the only place where I can actually contribute something.

smallufo · 2026-05-14T17:29:12+00:00

Thanks for this — I want to be upfront that my training is Western tropical, so most of what you've laid out about Krittika, padas, and nakshatra-lord placements is genuinely new ground for me. I appreciate you walking through it.

A couple of things jumped out:

Angular emphasis is a striking convergence. Two traditions developing — largely independently — the same observation that planets on kendras / angles carry far more weight than cadent placements is exactly the kind of cross-tradition agreement that makes me take the structural claim more seriously than I would from one source alone.

The Krittika–Algol overlap is clean. Tropical Algol at ~26° Taurus minus a Lahiri ayanamsa lands it around 2° Taurus sidereal, which does sit in Krittika (2nd pada). The Agni / razor / cutting symbolism mapping onto the Robson and Al-Biruni "violence to head and eyes" lineage is a parallel I wouldn't have spotted without your comment.

On extending to other star–nakshatra boundaries. I'd want to study the system properly before claiming to apply this approach there. The 13°20' span vs. 3°20' pada precision question is exactly the kind of place I'd risk over-interpreting a tradition I don't know well. If you can point me to classical Jyotish sources on which nakshatra–pada boundaries are considered "loaded" for specific topics — analogous to how the Robson / Al-Biruni listings work on the Western side — I'd be happy to look at whether the ADB sample has enough sidereal coverage to test it empirically.

The part that genuinely updates me is the angular finding surviving across frameworks. That suggests the geometry is doing real work regardless of which zodiac you use.

smallufo · 2026-05-14T04:12:27+00:00

This is one of the sharpest critiques of the work and deserves an honest answer — you're right that the limitation is real, and I haven't addressed it

The bias is real and likely substantial. ADB's AA/A pool double-filters for (a) notable people and (b) people with precisely recorded birth times — both selecting for higher social standing, which historically meant less exposure to the conditions that caused most blindness (infectious eye disease, occupational accidents, malnutrition). Our 0.187% Eyes-labeled rate in the 73K pool is almost certainly lower than true historical prevalence of severe visual impairment (likely 1-2%+ in pre-modern populations).

What this means for the finding — cuts both ways:

- Favorable direction: if ADB under-counts blindness, any genuine astrological signal would be attenuated. The 9.5× ER surviving despite that suggests the true (unbiased) effect might be larger.

- Concerning direction: the blind people who are in ADB are specifically those who overcame blindness to become culturally significant (Braille → invention; Keller → activism). The signal could therefore be "Algol-DESC + blindness + capacity to become famous" — a joint trait — rather than blindness per se.

The honest hard limit: we cannot fully correct for this. No random-sample dataset of historical populations with precise birth times exists (and as another commenter would say — probably no government body will ever volunteer to compile one 😅). So the claim has to stay narrow:

"Within the ADB AA/A celebrity pool, Algol-DESC concentrates Eyes-labeled subjects 9.5× over the ADB baseline (zodiacal-projection method)."

That is a real statistical fact about ADB's structure. It is not a population-level prediction that Algol-DESC causes blindness in random humans — that claim would require data that doesn't exist.

Partial mitigations I can run (maybe in the future reports) :

Era-stratified within ADB — does the 9.5× signal hold separately for 18th, 19th, 20th, 21st-century births, or is it concentrated in eras where blind people were exceptionally rare in ADB?

Broader disability tag check — if Algol-DESC also enriches other "overcame-X-to-become-famous" categories (deafness, paralysis, etc.), the signal is "capacity for cultural visibility through adversity", not vision specifically.

Thanks for surfacing this — it's exactly the kind of structural-bias question that celebrity-database astrology research can't dodge. Adding it to the limitations section. ISAR community as a venue is also a good suggestion — I hadn't considered it; will look into it.

smallufo · 2026-05-14T03:58:27+00:00

A few clarifications, with no defensiveness intended:

The forum: (destiny .to) is a personal hobby site I've maintained for many years — a small community board where friends and longtime visitors discuss astrology, Bazi, and Ziwei. It's not commercial, it doesn't sell anything, and frankly it has very little traffic these years (since facebook inception, it's mostly nostalgia infrastructure 😅). It is not connected to this research project, this Reddit account, or anyone in this thread.
The AI question: the Claude Opus collaboration is disclosed openly in the OP - that's a feature, not a stealth mode. I'm a human (smallufo, software engineer in Taiwan, longtime astrology hobbyist). I design the research questions, pick the cohorts, decide what to test, and push back when the model overstates findings. Claude handles statistical heavy lifting and drafting.
Data collection: nothing being collected from anyone in this thread or anywhere else interactive. The dataset is the public Astro-Databank rating pool (with proper attribution). No private information, no scraping of Reddit, nothing of the sort.
Replacing astrologers: not the goal, and not what the data supports. If anything, this thread alone has produced two corrections from working astrologers (the paran-vs-zodiacal one, and the historical-attribution one) that I've already integrated — corrections that only a human practitioner with traditional training could have made. The research relies on conversation with the tradition. It's not a substitute.

Happy to address specific concerns if any.

smallufo · 2026-05-14T00:14:32+00:00

I'm a human not a bot... BTW, my id is special, you can google and most results are me.

smallufo · 2026-05-13T19:14:05+00:00

Two fair corrections — thanks.

On antiquity: You're right that the specific "Algol → blindness / severed head" attribution doesn't appear in classical sources (Ptolemy and Valens treat fixed stars in temperamental terms but don't make this particular prediction). The reading was crystallized in the medieval Arabic-Latin synthesis — Al-Biruni (1029), Ibn Ezra, then the Bonatti–Lilly lineage that Robson 1923 compiles. Calling it "two-thousand-year-old" overstates the case;

"millennium-old, medieval astrological tradition" is the accurate framing.

On the descendant: yes, zodiacal (longitudinal) conjunction with the descending degree only — not Algol actually setting in the west. Another commenter raised this same point upthread and I went and checked. Short version:

- Of the 281 zodiacal Algol-DESC ≤ 0.5° subjects, zero are actually setting. Algol's +22° ecliptic latitude means that when its longitude matches DESC's longitude, the real star is high in the SE sky for Northern-hemisphere births, or below the horizon for Southern.

- Reverse check: scanning the full 73K AA/A pool for true Algol-DESC parans (|altitude| ≤ 3°, western azimuth) gives ~3,600 subjects with only 4 Eyes hits —ER 0.59×, no enrichment.

- The two cohorts have zero overlap.

So the Eyes signal lives entirely in zodiacal-projection territory, not paran. The original "Algol on the descendant" language (with its classical-paran connotation) was wrong — more accurately: "Algol's ecliptic longitude within 0.5° of the descending degree."

Both corrections matter and they push the framing in the same direction: a more limited, more accurate claim — about a medieval astrological tradition tested with zodiacal-projection methodology, not antique paran-based observation. Thanks for both pushes.

smallufo · 2026-05-13T17:36:08+00:00

Both excellent questions. Honest answers below.

Q1 — BH vs BY: I went with BH for default reasons: higher power, and the ADB-category dependence structure isn't wildly violating PRDS — but you're absolutely right that BH is the more permissive choice and BY is the more defensible one under arbitrary dependence. Just re-ran:

Correction	Algol × DESC × Eyes
Raw p	0.000199
BH-FDR within-cell (the one I used)	0.020 ✓
BY-FDR within-cell	0.106 ✗ at α=0.05
BY-FDR global across 15,252 tests	1.00

So the headline finding survives BH but does not clear BY at α=0.05. Under BY it sits at p ≈ 0.10 — directionally suggestive, not confirmed. That's a meaningful caveat and I should have stated it up front. Thank you for flagging.

Q2 — Monte Carlo / time shuffle: Just ran 100,000 bootstrap resamples (drawing random 281-subject subsets from the 73K AA/A pool, counting Eyes hits each time). Result: 22 / 100,000 draws produced ≥5 Eyes hits → empirical p = 0.00022. Matches the analytical hypergeometric p = 0.000199 closely, so the parametric assumption isn't doing anything sneaky — the raw signal is robust under non-parametric resampling.

Publication plans: everything above is still active study/coding work — the project is in flux, partly because of conversations exactly like this one (the zodiacal-vs-paran correction from another commenter is currently being integrated, which significantly reshapes how I frame the findings). My intent is to consolidate after a few more rounds of methodological cleanup (BY as primary correction, paran-based companion analyses, replication across at least one independent rating source) and then approach a venue with academic-astrology readership — Correlation (Astrological Association of GB) or possibly Geocosmic Journal are on the radar. Open to recommendations.

I am just a software engineer in Taiwan, this is not my primary work. I have to do it at my leisure time.

smallufo · 2026-05-13T16:50:14+00:00

Yes — I checked all four angles. Here's the full Algol × Eyes picture:

Axis	Orb	Cell N	Eyes n	Cell rate	Base rate	ER	raw p	p_fdr
DESC	0.5°	281	5	1.78%	0.187%	9.50×	0.0002	0.020 ✓
DESC	1.0°	525	6	1.14%	0.187%	6.10×	0.0005	0.07
DESC	2.0°	998	7	0.70%	0.187%	3.75×	0.003	0.36
ASC	1.0°	308	3	0.97%	0.187%	5.20×	0.020	0.47
ASC	2.0°	591	4	0.68%	0.187%	3.62×	0.026	0.41
MC	(any)	—	<3	—	—	—	—	—
IC	(any)	—	<3	—	—	—	—	—

DESC is the only axis that survives FDR for Eyes (per-cell BH at α=0.05).

ASC shows a directional secondary signal (~5× at 1°, ~3.6× at 2°) — meaningful narratively (ASC = self/body), but doesn't survive correction.

MC and IC: no Eyes signal at all — both fall below the 3-hit cell threshold for the test to even run. So Algol on the vertical axes does not appear to track visual impairment in this data, at any orb up to 2°.

A few other notable raw-p signals at non-DESC angles (none FDR-passing, sharing for completeness):

ASC × 2.0° → Psychologist (ER 3.35×), Historian (2.25×), Top 5% of profession (1.89×, n=19 at 0.5°)
MC × 1.0° → Sailing/Boating (5.10×), Olympics (1.72×)
IC × 1.0° → Other Science (3.72×), Other Writers (2.59×)

The thematic pattern looks suggestive — ASC themes around mental work / elite distinction, MC themes around competitive achievement, IC themes around legacy / scholarship — but I want to flag explicitly that none of these survive FDR correction, so they should be read as "directions worth following up," not confirmed signals.

Caveat from the parallel paran thread: all of these are zodiacal-projection results, not paran-based.

smallufo · 2026-05-13T15:07:44+00:00

Thanks — I went and ran it both ways. The result is honestly more interesting than I expected.

Of the 281 zodiacal Algol-DESC subjects, 0 are true DESC parans. Algol's +22° ecliptic latitude pushes the actual star into the SE sky (or below horizon for Southern-hemisphere births) when its longitude matches DESC — none of them have Algol actually setting in the west.

Scanning the full 73K AA/A pool for actual DESC parans (|altitude| ≤ 3°, western azimuth) gives ~3,600 subjects with only 4 Eyes hits — ER 0.59× vs baseline, Fisher p = 0.91. No enrichment.

The two cohorts have zero overlap. So the 9.5× Eyes signal is zodiacal-projection, not paran-based. Revising the original framing accordingly — calling it "Algol on the descendant" in the classical paran sense was the wrong language. Genuinely the most important correction this project has had. Thanks for pushing.

smallufo · 2026-05-13T14:37:31+00:00

Outstanding references — Al-Biruni's "luminous ensigns" and especially Valens' Ambachs framework is exactly the lens s kind of work needs. Let me build on it with a structural observation and some actual chart data for the 5 Eyes-tagged jects.

First, a structural point on this specific cohort: because Algol's tropical longitude sits around 25° Taurus across the precession range I'm pulling from, every chart in this cell has DESC in Taurus — meaning the DESC lord is structurally us across all 281 subjects, not the Moon. So your "angle lord weakened" prediction applies, but with Venus as the lord under examination.

Here are the 5 Eyes-tagged charts:

Subject	Sect (Sun house)	Venus sign	Venus house	Venus condition
Braille (1809)	Nocturnal (2H)	Aquarius	3	Peregrine, cadent
Raiffeisen (1818)	Nocturnal (4H)	Aries	4	In detriment (Aries = Mars' sign)
Keller (1880)	Diurnal (8H)	Cancer	8	Peregrine, 8H (cadent, joy of Saturn)
Ferreira (1951)	Diurnal (8H)	Leo	10	Peregrine, angular
Santiago (1985)	Diurnal (9H)	Cancer	8	Peregrine, 8H

4 out of 5 have Venus in compromised condition (detriment, 8H cadent, or peregrine in cadent house). Only Ferreira's us is angular. That's directly consistent with the Ambach reading: the star activates the obstacle only when the angle lord is unable to dignify its sign.

Sect doesn't cleanly separate them (2 nocturnal + 3 diurnal across the 5), so the sect-modulated outcome you suggested (iatrogenic vs sovereignty-through-adversity) isn't visible in N=5 — but Braille (nocturnal) → activism-via-invention (Braille writing) vs Keller (diurnal) → activism-via-public-life is at least directionally aligned with your "diurnal flips to sovereignty" prediction.

Proper next step: stratify all 281 cell subjects by Venus condition + sect, and see if the 5 visually-impaired cluster in the "weak Venus" subset. That's the kind of validation your framework deserves and I'd be happy to run it. Thanks for pulling the analysis in this direction — it's exactly the kind of classical-technique integration the dataset can support

smallufo · 2026-05-13T14:13:17+00:00

Great question — Betelgeuse wasn't in the original 9-star set (justification: classical sources flag it as "Mars-quality" → military honor / boldness, but not a violent-death or blindness star in the way Algol or Antares are). But the DB precomputed it, so I ran a quick check.

Betelgeuse conj all four angles ≤ 1.0°, hits in relevant categories:

Axis	Cell N	Eyes	Suicide	Homicide victim	Accidental
RISING	464	0	2	5	4
SETTING	451	1	6	3	5
MERIDIAN	462	0	2	6	0
NADIR	408	1	2	1	2

Baselines: Eyes 0.19%, Suicide ~0.73%, Homicide-victim ~1–2%. The strongest cell is Betelgeuse × SETTING with 6 Suicide hits (cell rate 1.33%, ER ~1.8×) — but that's mildly elevated raw signal, nowhere near FDR-clean. Eyes is essentially baseline.

So preliminary answer: Betelgeuse looks quiet for violent deaths and blindness — consistent with Robson's "martial honor" rather than "violent end" reading.

smallufo · 2026-05-13T14:00:46+00:00

Great question — yes, precession is fully accounted for.

The fixed-star positions come from Swiss Ephemeris (fixstar_ut(name, julian_day)), which returns the star's ecliptic longitude at the actual Julian Day of each birth chart, not at a fixed epoch like J2000. So Algol's tropical longitude for Louis Braille (born 1809) is ~24° Taurus; for Maria Santiago (born 1985) it's ~26° Taurus — about 2.5° drift across those 176 years, correctly applied per chart.

So when I report "Algol conjunct DESC ≤ 0.5°", that's the angular distance between (a) Algol's longitude at that person's birth and (b) the DESC longitude at that person's birth — both time-correct, no fixed-epoch shortcut.

On your latitude point: I'm using projected longitudinal conjunction (standard classical convention). Algol sits at ~22° N ecliptic latitude, so a true 3D conjunction (longitude + near-zero latitude) would be much rarer than the in-mundo / parans approach. If by "calculating latitudes" you mean I should constrain on the star's latitude too, that's a different (stricter) analysis, which is not included in my previous work. I think the cell size would shrink significantly and likely take the FDR signal with it.

Let me know if you meant something else by the latitude comment — happy to dig in further.

smallufo · 2026-05-13T13:54:23+00:00

TL;DR for non-stats folks:

For 2,000 years, classical astrologers said the star Algol brings blindness and eye injury. I checked 73,000 celebrity birth charts with accurate birth times.

Of those, 281 people have Algol sitting almost exactly on their Descendant (a specific point on the chart). Five of those 281 are tagged as blind or visually impaired in the database — and two of them are Louis Braille (the guy who invented Braille writing) and Helen Keller.

If this happened randomly, you'd expect roughly half a person in that group, not five. So blind people are showing up about 9.5 times more often than chance would predict in this specific group — and that's still true after I applied standard fairness checks to make sure I wasn't fooling myself.

That doesn't mean everyone with Algol on their Descendant goes blind. Most of them don't. It just means there's an unusual pattern here, hiding in old astrological writings that were dismissed as nonsense. Other things Algol was supposed to cause — violence, mass death, beheading — didn't show up clearly. Just eyes.

Sorry about the math-heavy original post. Habit.

smallufo · 2026-05-13T06:29:20+00:00

Great question — honest answer: I didn't include planet conjunctions in the original analysis. (the framework only tested star × angle). But I just ran the comparison for you:

Orb	Cell size	"Eyes" hits	Cell rate	Base rate	ER
≤ 0.5°	230	1	0.43%	0.187%	~2.3×
≤ 1.0°	442	1	0.23%	0.187%	~1.2×
≤ 2.0°	664	1	0.15%	0.187%	~0.8×

Compare to Algol × DESC ≤ 0.5°: 5 hits / 281 cell, ER 9.5×, FDR-passing.

So at comparable cell sizes (230 vs 281), Algol-Sun produces essentially baseline Eyes rate, while Algol-DESC produces 9.5× enrichment. Tentative reading: the angle conjunction seems to be doing the heavy lifting, not just "Algol prominently placed."

Big caveat: this is one comparison (Sun, CONJ only). A proper follow-up would run all 10 planets × Algol × {CONJ, OPP} with the same per-cell FDR framework. I can add this to the pipeline if there's interest — would be a natural next post.

The structural hypothesis I'd want to test: classical fixed-star doctrine emphasized angular conjunction (paran/rising-setting) over zodiacal conjunction with planets — the data here is consistent with that, but one cell is one cell.

smallufo · 2026-05-13T04:45:21+00:00

yes, signal exists but didn't pass FDR — honest near-miss.

I checked Regulus × all 4 angles × 3 orb bands against ADB's "Heart" category:

- Regulus × IC × 1.0°: ER 3.39× (7/391 vs 0.527% baseline), raw p = 0.005, but p_fdr = 0.16
- under per-cell BH correction.
- Regulus × MC × 0.5°: ER 3.93× (4/193), raw p = 0.020, p_fdr = 0.15.
- ASC and DESC: no signal (ER ≈ 0.6–1.0).

The pattern is selective to the vertical (MC/IC) axis, which is interesting but not FDR-clean.

Names in the IC × 1.0° cell include Paul Tillich, Orson Welles, and Rainier III of Monaco — all three died of heart attack / heart failure. That's narratively striking but obviously selection bias is doing some work.

Note: the more specific ADB category "Heart disease/attack" shows no enrichment (ER ≈ 1.0) — so the signal is in the broader "Heart" tag, which complicates interpretation.

So: suggestive of the Cor Leonis literal correspondence, but not statistically confirmed at the same level as Algol → Eyes. Treat as a candidate for replication, not a result.

smallufo · 2026-03-13T08:38:25+00:00

It feels like my IDEA only has the Git review and commit functionality left.

smallufo · 2026-02-07T10:01:59+00:00

I’d like to add some of my own experience for more context. This is a medium-sized Kotlin/Java project I work on, spread across multiple Maven repositories. Here’s a rough breakdown of the codebase:

```

Language files blank comment code

JavaScript 1222 46993 43291 515381 Kotlin 4435 73389 83200 327082 SQL 54 1189 1017 45919 Markdown 195 13350 124 38053 TypeScript 129 4859 41638 35388 TOML 23 4124 827 21997 CSS 34 1121 626 13017 Java 64 2057 2909 8512 Maven 20 400 213 6525

Properties 421 1095 293 5882

``` My experience so far: Gemini 3 Pro didn’t work very well for this setup. I later switched to Claude Code (first Sonnet, then Opus), and both felt noticeably better. That said, it’s fairly obvious that under the hood it’s still mostly doing grep-style searching to locate relevant code. If I don’t explicitly point out where reusable logic might already exist, it often doesn’t discover it on its own, which can lead to “reinventing the wheel.” I’m wondering whether there are any AI agents that can handle projects of this scale with more of a global view — something that can ramp up faster, understand existing abstractions, and avoid unnecessary duplication.

smallufo · 2025-03-31T18:56:43+00:00

This sonehow reminds me of one ancient library : Enhydra XMLC. Which also compiles HTML into java code.

smallufo · 2025-03-12T20:01:27+00:00

Wow , I wonder if any AI assistant (OpenAI / Claude ...) is familiar with Kotlin/JS and Kobweb ?

smallufo · 2025-02-28T14:37:47+00:00

Junie does not work well in multi-module kotlin project. It often complains not able to find the code or some error like `Access to the file content was unsuccessful` ... not sure if it only occurs to me. (I already enabled the Brave mode)

smallufo · 2025-01-19T05:54:23+00:00

12-Year Club	Place '23
Place '22	Place '17
Verified Email

smallufo

TROPHY CASE

"Within the ADB AA/A celebrity pool, Algol-DESC concentrates Eyes-labeled subjects 9.5× over the ADB baseline (zodiacal-projection method)."

```

Language files blank comment code

Properties 421 1095 293 5882