About to release a fun paid version. All contributors get lifetime free access.
Better running agents run longer, they need better plans. (is my bet)
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About to release a fun paid version. All contributors get lifetime free access.
Better running agents run longer, they need better plans. (is my bet)
I did the first Show HN a few days ago (https://news.ycombinator.com/item?id=49083987) but it was sadly left without attention.
And today I knocked out an improved trmnl plugin for Japanese flash cards at my wife’s request as she liked the native one from trmnl but it lacked furigana https://github.com/simonjgreen/trmnl-japanese-vocab
Note: I let AI do the vast bulk of the work on both counts, and I ideated, architected, and bug fixed. I do love AI coding hobby projects though, when you have an idea for a thing and know exactly how to put it together but don’t have the time to raw dog the whole thing.
I'm working on DB Pro [1] A modern database client with dashboards, saved queries, workflows, and yes, AI built into it. I've focused on building brilliant UX over the last year, and it has paid off. I've had two emails saying that they have cancelled their Jetbrains subscription for DataGrip which has been so validating. It's been a labour of love and I'm super happy to have disrupted even a small part of the ginorm…
I’ve been making interactive learning resources for myself - with wasm and browser simulation based labs (browser only interactive courses served from GitHub pages) to teach me topics from beginner to advanced
LLMs and systems intersection - https://kernelspace.naigap.com
Distributed systems - https://byzantine.play.naigap.com
Contextify (https://contextify.sh)
It is very flexible, you use it the normal flow of CLI AI conversations:
1. Resume unfinished work → "where did we leave off on that?"
2. Recover the intent/scope → "what was the actual goal of this whole effort?"
3. Verify it got done → "did we ever finish that, and which session proves it?"
4. Recall a fix → "how did we fix this the last time it broke?"
5. Reconstruct a decision → "why did we go this way instead of the other one?"
6. Branch/PR archaeology → "what was this branch even for?"
7. Recall a plan → "what was the plan we landed on for that?"
8. Activity over a window → "what did I ship or close in the last few days?"
Just add "use total recall" or invoke the skill directly via /total-recall or $total-recall.You can self-host your database to keep it local and sync your history across multiple computers. The local server is source available under FSL-1.1-Apache-2.0.
There are macos and linux clients, and I'm pretty close on a windows client. All share a common Swift-based core.