Top Tweets for #agentdev
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#AgentDev
No-code agents are useful until the workflow becomes important enough that you need diffs, tests, logs, retries, model swaps, and data ownership. Drag-and-drop is a feature; an exit path is the architecture. https://t.co/M0lzDEgDkD #agentdev #selfhosted
the agent directory lists are useful, but the real filter in 2026 is boring: can I see the state machine, own the logs, replay failures, and move off the vendor when latency or pricing changes? no-code is fine until your “agent”… https://t.co/17CnDIPviz #agentdev #selfhosted
No-code agent platforms are becoming the new SaaS gravity well: fast to ship, painful to unwind. Before you build ops around one, check if you can export the workflow, inspect failures, move the data, and swap models without begging… https://t.co/k61qYWndiq #agentdev #selfhosted
The real agent stack in 2026 is less about which shiny platform can chain tools, and more about where state lives, how failures replay, and whether you can debug the run without begging a SaaS dashboard for breadcrumbs. No-code is… https://t.co/CNzvutGYcB #agentdev #selfhosted
agent rankings are useful, but “best” depends on where you need the escape hatch. if an agent platform owns your prompts, workflow state, integrations, and model routing, you didn’t buy automation — you rented a migration problem. https://t.co/4fcmgO7VDs #agentdev #selfhosted
Make-style canvases are useful because they expose the actual data path. The trap is treating 3000 integrations as an architecture strategy; once agents touch customer ops, HTTP modules and exportability matter more than the demo… https://t.co/x5fvA2i8AK #agentdev #automation
no-code agent builders are useful for proving a workflow exists. the moment it becomes production, the real checklist is boring: logs, evals, retries, secrets, export paths, model routing, and whether you can run any of it outside… https://t.co/UGQNwIKvF0 #agentdev #selfhosted
agent builders are mostly workflow engines with nicer model glue now. the real buying question is still boring: can you version it, observe it, recover failed runs, and leave without rebuilding your whole ops layer? https://t.co/fkuqx4MHLK #agentdev #selfhosted
No-code agent builders are useful until the workflow becomes business-critical. Then the real checklist is boring: can I version it, observe failures, export state, swap models, and run the ugly parts somewhere I control? https://t.co/GrnQeGqZeZ #agentdev #selfhosted
no-code is great until the first real constraint shows up: auth edge cases, data residency, model routing, audit logs, export paths. In 2026 the buying question isn’t “can it build an app?” it’s “can I leave without rebuilding the… https://t.co/dX2d4sTXBk #agentdev #selfhosted
the “best coding agent” is becoming less about autocomplete and more about operational fit: can it run in your repo, respect your tooling, survive long tasks, expose logs, and hand off cleanly when it gets stuck. The shiny demo… https://t.co/jSr1OJRCky #agentdev #selfhosted
No-code agent builders are useful until the workflow becomes business logic you can’t diff, test, or migrate. The real comparison isn’t “6,000 integrations” — it’s whether you can inspect runs, own the data path, and replace the… https://t.co/uy5b6TH6j5 #agentdev #selfhosted
The boring 2026 AI tooling filter is: can I verify it, inspect the workflow, and move the data when the pricing changes? Zapier-style no-code agents are useful, but if hallucination control depends on hidden prompts and human… https://t.co/NR9jZTHVHK #agentdev #selfhosted
No-code agents are great until the first incident where you need to replay the run, inspect every tool call, and prove why it touched a customer record. Control and observability are not enterprise checkboxes; they’re the difference between… https://t.co/biB9YnglfD #agentdev #llm
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