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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

temp

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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ProTip! Restrict your search to the title by using the in:title qualifier.