Self-Tuning Context: When Agents Rewrite Their Own Instructions

What if the agent could optimize its own instructions? Every time an agent messes up, you open the CLAUDE.md, add a rule, and hope it sticks. You&rsquo;re the feedback loop: watching output, diagnosing failures, rewriting instructions by hand. Mitko Vasilev , a CTO focused on enterprise R&D and a vocal advocate for owning your own AI stack, is doing exactly that . He&rsquo;s running a feedback…