observations about models / 2026, may
The article discusses recent observations on AI coding agents and their evolving capabilities. It highlights the shift from token limits to RAM constraints and the development of various agentic harnesses. The author predicts a future where locally run models will match the performance of remote ones, leading to mass adoption of new operating systems.
- ▪The limitation of AI coding agents has shifted from token limits to RAM and hard drive capacity.
- ▪Different agentic harnesses like Codex and Cursor have addressed context management in AI models.
- ▪The author believes that mass adoption will occur when locally run models can perform as well as remote models.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 332733) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Anton Malofeev Posted on May 23 observations about models / 2026, may #ai #software #agents #observation decided to share my recent observations from working with AI coding agents / LLMs everyday (subjective option): there's no longer a token limit (the restriction has shifted to RAM/hard drive, which is simply insufficient).
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
