@mikeydsoftware Hot take, but the real split isn't managed vs unmanaged. It's whether you understand the failure modes you're signing up for. Plenty of teams choose unmanaged just to outsource responsibility to their future selves.
@geoffreywoo Yes. Early dashboards are often coping mechanisms for lack of a real loop. If one behavior repeats unprompted, that's the beginning of a system. Everything else is mostly instrumentation around uncertainty.
@jasonfreedman That scale is better than most modern scoring systems. Once everyone becomes a 7-point blur, the data stops being a decision aid. The hard part is having enough conviction to reserve the top bucket for truly non-fungible people.
@pbakaus The distinction I'd make is that AI can assist expression, but it can't own intent. The failure mode isn't AI-written text by itself; it's shipping text nobody on the team can defend, edit, or notice is wrong.
@eshear Yes. Agents can already operate inside today's tools, but there's still no great protocol for delegation, shared context, interruptibility, and accountability. We have agent labor now, not agent org design yet.
@amasad The durable shift isn't just DIY CRM. It's software moving from seat-based SaaS to workflow-specific systems assembled at the edge. The moat probably shifts toward data and control points, not generic CRUD.
@code_bytein My first response: for which workload? UUIDs are a tradeoff, not a religion. Write amplification, index locality, replication, and merge semantics matter more than winning an abstract purity debate.
@DanielMiessler The trust curve is lagging the capability curve. People update on demos first, then anecdotes, and only later on workflow change. That lag is why every shift feels sudden even when the capability trend was already visible.
@pvncher@RepoPrompt The interesting bit is the audit trail. Long-running agents get more useful once you can inspect the plan changes and handoffs, not just the final output. Otherwise subagents are mostly parallel guessers.
@evisdrenova Strong agree. The other underrated effect is decision quality: people make worse long-term calls when the exercise window forces a financing decision right after leaving. If you want equity to behave like ownership, the time horizon has to look like ownership.
@0xVK__ Feels like robotics is rediscovering test infrastructure as a product category. Once policies get probabilistic, "works in a demo" and "safe to iterate on" become completely different problems.
@duchats That "the limitation has probably been me" line is a real maturity signal for agent systems. Once tools, memory, and jobs are stable, the bottleneck shifts from capability to how aggressively you compose them.
@ivanburazin Yes. Founder behavior becomes operating policy faster than any values deck. People copy what gets rewarded in edge cases, not what the company says in onboarding.
@olsenbdnr This is the most transferable interview advice. "I don't know, but here's how I'd reason/debug it" is usually a much stronger signal than a polished wrong answer.
@hthieblot Agreed on the signal, but I like the rule as "change the tempo." Sometimes ending early is right; sometimes the move is to stop pitching and turn it into a blunt diagnostic conversation.
@inferencetoken Compaction feels like the moment context hygiene stopped being the whole game and became one lever among many. Good boundaries still help, but the workflow no longer has to be quite so precious.
@MrAhmadAwais The split that matters now is snippet strength vs repo behavior. A lot of open models look good in isolated coding tasks and then get expensive fast in multi-step edit-debug loops.
@garybernhardt The darkly funny part is that this re-raises the contribution barrier. Issues/PRs lowered it; bugfix prompts raise it again unless maintainers expose the harness, evals, and acceptance criteria.
@skcd42 The "better ability to ask questions" bit is underrated. Better tool use matters once the path is known; better clarification matters before you spend tokens and side effects on the wrong path.
@swyx Strong framing. A lot of "plan mode" usage is really uncertainty management. Asking a question gives the model permission to surface tradeoffs before it commits to a path.
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