Developer argues AI agents need version control and evals, not prompt polish
A developer building AI agents argues that the community overemphasizes prompt generation and first-version speed, while the real challenge is maintaining agent behavior across edits, tool changes, and model updates. They call for evals that run on every change, output contracts, version diff/rollback, and per-tool failure handling with logs.
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Developer asks community for agent evaluation practices, cites silent breakage
A developer building AI agents reports that prompt or MCP changes often break silently despite passing manual tests. They ask the community about evaluation methods, including fixed test cases, skill-level vs. end-to-end checks, and tools like DeepEval, LangSmith, and Ragas.
Founders advised to grade AI output rather than understand model internals
A Reddit post argues that founders should not delay shipping AI agents due to a need to understand the model's internals. Instead, they should build systematic evaluation pipelines that compare outputs against known correct answers and catch regressions before users see them.
Developer shares technique: rewrite tool descriptions for AI agents, not humans
A developer on Reddit describes a practical technique for improving AI agent tool selection: rewriting tool descriptions to answer six specific questions an agent needs, such as one-line purpose, when to use, when not to use, and required input format. The post argues that many agent failures stem from descriptions written for humans familiar with the codebase, not for the agent itself.
Community coins 'loop engineering' as discipline for production AI agents
A Reddit user proposed 'loop engineering' as a more useful concept than 'prompt engineering' for production agents, emphasizing the design of feedback loops around agent failures. The post argues that the hard part is not completing a task once but handling retries, rollbacks, and turning incidents into durable improvements.
Developer seeks ways to have AI improve existing features rather than suggest new ones
A developer with over a year of AI-assisted project building reports difficulty getting AI to suggest improvements on existing features instead of proposing new ones. They have tried asking the AI to scan a project directory but find it consistently veers toward new feature suggestions.