Open-weights models struggle with rigid developer instructions

// 46d agoNEWS

Open-weights models struggle with rigid developer instructions

A developer using the minimalist Pi Coding Agent and Ollama Cloud reports significant issues getting open-weights models like Kimi K2.5, GLM 5.1, and MiniMax M2.7 to follow project-level rules for dependency management and comment formatting. The struggles highlight a persistent gap in instruction-following capabilities between frontier models and open-weights alternatives.

// ANALYSIS

This is a classic "vibe coding" vs "engineering" clash — open-weights and mid-tier models often collapse under the weight of strict negative constraints and formatting rules.

–The highly specific comment style rules (imperative mood, specific punctuation per line type) are notoriously difficult for smaller models, which tend to revert to their pre-training distributions
–Pi Coding Agent relies entirely on standard Markdown files like `AGENTS.md` to steer behavior, meaning success depends completely on the underlying model's system prompt compliance
–While models like Kimi and GLM are improving at coding logic, they still trail behind GPT-4o and Claude 3.5 Sonnet in rigid adherence to multi-part instructions
–The thread underscores that high "reasoning" settings do not automatically translate to high instruction fidelity

// TAGS

pi-coding-agentollamaopen-weightsllmai-codingprompt-engineeringreasoning

DISCOVERED

46d ago

2026-04-13

PUBLISHED

46d ago

2026-04-13

RELEVANCE

8/ 10

AUTHOR

FrostyCurrent

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