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Create Student domain entity according to UML diagram using Builder Pattern.
Summary
Add explicit feedback controls so the user can tune Proactive Aya over time without silent inference. Aya should learn
from direct user actions such as useful/not useful, mute this routine, remind ...
agent
backend
feature
frontend
Problem
Right now, the loading flow works in two steps: llmemos_select.py computes a load plan (a list of {memo_id, file, mode,
section_id, start_line, end_line, ...} entries), and the agent then issues ...
Проблема
Событие TOOL_PREPARING приходит в SSE-поток вплотную к TOOL_CALL — зазора нет, индикатор «готовлю данные…» на фронте
никогда не успевает появиться.
Причина
OpenAiChatModel.internalStream (Spring ...
enhancement
Phase 1 is done. Phase 2 is ready to run.
Date: June 21, 2026
Files committed this run
- investment-engine/stock-data/investment_data_06212026.xlsx — scored workbook
- investment-engine/stock-data/consolidated_06212026.csv ...
investment-review
When starting the integration and entering the local IP address of the Jullix ems, everything seems to be OK. But when
checking the sensors, it shows the following message: Jullix EMS
Instellen mislukt, ...
Summary
main.py currently writes to raw_proxy.txt in a single, hard-coded way: each run overwrites the file from scratch with
whatever the providers returned. There is no way to append new entries to ...
enhancement
help wanted
Summary
Add a user-facing Proactive Run Log so every Aya-initiated message can be inspected: why Aya messaged, which routine
fired, what data triggered it, which channel was used, and what happened afterward. ...
agent
backend
feature
frontend
One of the people who submitted a response in the development survey (see #79) has reported that they use Sparkle with
the human brain. They have suggested that we increase Sparkle s sparkliness, which ...
joke

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