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Describe the bug Users of the Enatega Multivendor Customer App encounter a critical issue when attempting to change the
address during the checkout process. Instead of updating the address seamlessly, ...
Spec Reference
Source: specs/fleet-usage-monitor.md Sections: §2.1, §3, §4.2, §4.3, §4.4, §4.5, §8 step 1
What to Build
Implement claude-config/scripts/usage_collector_claude.py — the Claude transcript ...
build-slice
fleet-usage-monitor
from-spec
P1
tests
Problem
resetPlayer() (line 157-165) resets position, HP, velocity, timers, and state, but does NOT reset the bot AI state
object (player.bot).
When a bot is KO d and respawned via resetPlayer(), the ...
The intent gap — the distance between an informal natural language requirement and a checkable formal specification — is
identified as the central challenge for reliable AI-generated code (arXiv:2603.17150), ...
formalization
high-impact
research
Existing benchmarks like SWE-bench measure whether an agent can fix a reported bug, but not whether the fix introduces
regressions — a core real-world concern given that maintenance consumes 70–90% of ...
regression
research
testing
Agentic coding workflows now average 1–3.5M tokens per task including retries and self-correction loops, and reasoning
models like DeepSeek-R1 consume substantially more tokens than non-reasoning counterparts ...
cost-efficiency
metrics
research
Before opening
- [x] I searched existing issues for a similar report.
- [x] This is not a security vulnerability.
Affected area
App UI
Mini EQ version
0.8.6
Install method
Flathub
Linux distribution ...
bug
Problem
In the update() function (line 342-371), updateBotAI() is called BEFORE updatePlayer():
for (const player of players) {
if (player.isBot player.hp 0) {
updateBotAI(player.bot, player, ...
Current pass@k metrics treat any test-passing solution as correct, ignoring that 45% of AI-generated code samples fail
OWASP Top 10 security tests and AI-generated code introduces 2.74× more vulnerabilities ...
high-impact
research
security

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