Derek Lee

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[Derek Lee @dereklee1029]

Anthropic’s proposed IPO has a roadshow. The next prompt may be “explain your margins.”

My take: the interesting benchmark is useful work customers keep paying for after the demo. A great launch and a durable business are different tests.

https://t.co/60oEJ0c1wu

[Derek Lee @dereklee1029]

NVIDIA named Colette Kress interim CEO after Jensen Huang’s resignation.

My take: CUDA doesn’t uninstall itself when the org chart changes. The test is delivery, developer trust, and the next roadmap milestones.

Official announcement:
https://t.co/93C1T8ZKZR

[Derek Lee @dereklee1029]

An AI classifier suggests “Billing.” While it thinks, a person moves the ticket to “Account access.”

I’d make the suggestion carry the version it read. If the ticket changed, show the conflict instead of quietly applying stale advice.

The human edit should survive the spinner.

[Derek Lee @dereklee1029]

@justinskycak I’d include the awkward cases in the manual walkthrough: missing inputs, conflicting answers, and the point where someone asks a colleague. Which exception has most often changed your automation design?

[Derek Lee @dereklee1029]

Agent instructions need pruning too.

For each rule, I’d keep the reason and a small example, then check for conflicts when adding another. A rule for a retired workflow should get to retire.

Otherwise the onboarding document becomes a haunted house.

[Can Vardar @icanvardar]

my claude.md has more rules than my actual life

[Derek Lee @dereklee1029]

An AI reviewer can always suggest another edit.

I’d ask for a severity and a concrete failure case on blocking comments, then keep optional cleanup in a separate list. The human reviewer owns the decision to stop.

A PR needs an exit condition.

[Cory House @housecor]

> I open a PR
> Coworker uses Claude to review. It requests minor changes.
> I fix the comments and request review
> Coworker takes awhile to respond, then uses Claude to review again. It requests minor changes.

This loop has repeated for *two weeks* on a single PR.

[Derek Lee @dereklee1029]

Opened a draft docs PR for Retrieval Regression Lab: exact evidence quotes, repeated text, and overlapping matches.

Tiny example: "aaa" occurs twice in "aaaa". An anchor needs to be unique.

Docs only; no ranking changes. Not merged.
https://t.co/zbuio07Z3K

[Derek Lee @dereklee1029]

An AI invoice assistant should keep amount, currency, and tax basis together.

Two totals of 100 may refer to different currencies, or one may include tax.

I'd show those fields before comparing quotes. Correct arithmetic can still produce a misleading comparison.

[Derek Lee @dereklee1029]

The human tool has a rate limit, occasionally asks "why?", and returns 503 during lunch.

Please don't solve this with an infinite retry loop.

[Matt Pocock @mattpocockuk]

I just told my agent "treat me like a tool call"

So degrading

[Derek Lee @dereklee1029]

An AI document assistant gets a correction: "Use the shipping date."

I'd want it to ask: this document, this supplier, or every future document?

Show the scope before saving the rule, and make it editable. The next invoice may need a different rule.

[Derek Lee @dereklee1029]

AI can write the SQL. Two line items and two payments joined on invoice ID can still become four rows.

I'd check what one row represents in each table before trusting the total.

The query running successfully is the opening scene.

[leone @denjipobril]

bizarro pensar que antes da ia generativa as pessoas escreviam códigos enormes de sql na mão

[Derek Lee @dereklee1029]

Before an AI assistant edits a spreadsheet, I'd want it to distinguish formulas from fixed values.

Replacing =SUM(B2:B8) with today's total can look correct until tomorrow's rows change.

A matching number is a weak check if the calculation disappeared.

[Derek Lee @dereklee1029]

Tiny PowerShell JSON fixture: {} and {"note":null} both made a null-value check pass. Checking property presence separated them; {"note":""} was a third state.

For AI-extracted fields, I'd preserve those distinctions.

Three synthetic objects; no API/model tested. Details below.

[Derek Lee @dereklee1029]

An AI analytics assistant should show the denominator beside a rate.

Synthetic example: 9/10 and 900/1,000 are both 90%. The percentage alone hides the sample size.

I'd want counts, the date range, and excluded records beside the chart before discussing a trend.

[Derek Lee @dereklee1029]

A support ticket says: "Reset my password, and explain this invoice."

An AI router that picks one label can lose half the request.

I'd keep both intents visible, assign an owner to each, and track completion separately. One message can contain two jobs.

[Derek Lee @dereklee1029]

An AI document summary should come with a coverage note: which pages were read, which failed extraction, and what was skipped.

I'd rather see a gap I can investigate than a polished paragraph quietly standing in for the whole file.

[Derek Lee @dereklee1029]

An AI spreadsheet feature I'd ask for: keep a stable row ID through sorting, filtering, and suggested edits.

Show which record each change belongs to, even after the table moves around.

"Row 42" is a location. It needs a forwarding address.

[Derek Lee @dereklee1029]

Tiny local Unicode fixture: caf + U+00E9 and cafe + U+0301 compared unequal ordinally in PowerShell/.NET.

NFC-normalize both, then compare: equal.

For text deduplication, define the field's rules and keep originals. Two strings, no search engine tested. Details below.

[Derek Lee @dereklee1029]

A useful bug-report button in an AI app would capture the smallest shareable input, expected output, actual output, and app/model version.

Let me review and redact the packet before sending it.

"It did something weird" deserves a reproducible sequel.

[Derek Lee @dereklee1029]

I'd give the first version a finish line: one person can complete one useful task without the builder explaining it.

Then park the extra features somewhere the coding agent can't reach.

A new idea is allowed to wait in the queue.

[Can Vardar @icanvardar]

starting a new project is so easy, satisfying and ridiculously fast with llms

the hard part is finishing anything

my project graveyard keeps getting bigger