Software pain points

What people report in Software

Developers hand work to AI agents and then check what came back, and that loop fills this field, which holds 304 pain points. Unreliable AI Coding Agents is the largest of those listed by a wide margin: 1.5K people, 829 saying it costs them, 180 payers (customers paying now or in prospect) and 89% weekly. Software developers describe changes outside the task that nobody verified; rules fade, styles revert, the agent leaves the code broken and then asks for permission, and there is no dependable way to check its work, catch regressions or share team memory.

Review is the same pain from another angle. AI Code Review Burden (Software developers and engineering teams, 939 people, 71 payers, 510 reporting a cost, 91% weekly) comes with Claude Code giving no way to approve or reject single lines, so every review is done by hand and slowly. AI Code Review Bottleneck (Software developers and teams, 656 people, 459 reporting a cost) reports unmaintainable output that its authors cannot explain. AI Code Floods Pull Requests (574 people) holds the highest frequency, 98%, with 21 payers.

Uncoordinated Coding Agents (Developers using AI agents, 958 people, 66 payers, 92% weekly) has agents ignoring permission rules, subagents disobeying and no status indicator that stays in view. Unreliable Multi-Step Agents (AI agent developers, 766 people, 92% weekly) has a model that does not stop to ask for guidance and cannot predict the nuances of some tasks, and a contradicting instruction written in claude.md fails. AI Agent Memory Loss (648 people, 14 payers) dumps everything into the prompt, loads skills too eagerly and lets instructions in CLAUDE.md be disregarded deep into a task. Managing Multiple AI Agents has 796 people and 45 payers.

Uncontrolled AI Token Spend (Engineering, FinOps, and AI teams, 597 people, 442 reporting a cost) has 96 payers, the second-highest figure after the coding agents, but the lowest frequency listed, 41% weekly. Tokens are shown only after sending, never the cost beforehand, and choosing a lower thinking setting makes the agent open extra files and launch subagents, which burns quota. Claude, Claude Code, Codex and Cursor are named most often, followed by Excel, Slack, Notion and n8n.

Among those listed, Unreliable AI Coding Agents is the obvious target: top audience, top cost, top payers and a precise complaint about verification. Uncontrolled AI Token Spend is the focused alternative for a builder who prefers a narrower buyer.