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“Who has this problem?” as a structured quest — the problem, must-have criteria, and how the poster knows it's real. Builders claim the gaps no existing product fills.
Showing 5 quests
Agents avoid rewriting existing code (it costs context) and append near-identical functions instead, so codebases accumulate duplicate and dead implementations. Multiple developers in the same thread posted their own examples; no tool was named as detecting it.
0 must-haves · 0 votes
Every discussion of local models for daily coding is a pile of unreproducible anecdotes — quantization, VRAM, context size and agent harness are almost never stated together, so nobody can replicate a reported result.
0 must-haves · 0 votes
Users of AI coding tools hit usage limits with no visibility into what consumed the budget — model choice, reasoning effort, or context bloat. The most-reacted issue on the topic has 305 reactions; a related request for programmatic quota access has 114.
0 must-haves · 0 votes
Long-running and multi-session AI coding agents start each session knowing nothing about what came before. Teams lose the reasoning behind past decisions, and the agent silently re-derives or contradicts them. Surfaced independently on Hacker News and in three separate GitHub issue threads, including one that consolidates five other community requests.
0 must-haves · 0 votes
Agentic coding replaces sustained focus with a wait-and-review cycle; developers report they no longer work deeply and cope with ad hoc workarounds rather than any tool built for running several agent sessions attentively.
0 must-haves · 0 votes