Aatish

[Aatish @aatish_ec]

The big agent lesson right now: giving an AI more autonomy also expands the blast radius of mistakes.

Tool access, isolation and approval checkpoints aren't “safety extras” anymore. They're product design decisions. The smarter the agent, the more this matters.

[Aatish @aatish_ec]

Meta’s Muse is a useful signal: personal agents are moving toward actually taking actions, not just answering questions.

The product challenge now is trust. If an agent can email, buy, book and negotiate, approval flows and isolation become part of the UX,not backend plumbing.

[Aatish @aatish_ec]

@1006_amit7481 Amazing

[Aatish @aatish_ec]

@BubbaDump25 @RRRangle This is amazing

[Aatish @aatish_ec]

AI agents are moving from “assistant” to “operator.”

Atlassian’s latest agentic dev workflow turns backlog items into pull requests, adds review agents, and measures agent-driven productivity.

The real shift: AI is becoming part of the workflow, not just the interface.

[Aatish @aatish_ec]

AI agents are crossing an important line: they’re no longer just executing tasks,they’re starting to operate for long periods with access to real systems.

That changes the product question from “What can the agent do?” to “What should we let it do?”

[Aatish @aatish_ec]

The interesting shift in agentic AI isn't “better agents.”

It's agents becoming specialized—one handles research, another executes, another verifies.

That could make agent products less like one smart assistant and more like a small team with clear roles, handoffs.

[Piyush Goyal @PiyushGoyal]

लालबागचा राजा के प्रथम दर्शन 🙏

[Aatish @aatish_ec]

AI agents are starting to look less like assistants and more like teammates.

The interesting part isn't that they can use tools. It's that multiple agents can now split work, investigate in parallel and hand results back.

That changes how products should be designed.

[Smriti Z Irani @smritiirani]

ॐ गं गणपतये नमः।

मंगलमूर्ति के शुभागमन का मंगल पर्व आरंभ। 🙏

📍लालबागचा राजा

[Aatish @aatish_ec]

@coderabbitai Hey @TechAddict18 @malavrdalvadi checkout here

[Aatish @aatish_ec]

This looks really amazing!!

[Aatish @aatish_ec]

The AI harness is becoming the new control plane.

Salesforce’s latest enterprise AI architecture puts shared context, action controls, governance and orchestration around agents.

The shift is clear: models provide intelligence; harnesses make intelligence operational.

[Aatish @aatish_ec]

@lightsilver323 https://t.co/NZwxQh0weC

[Aatish @aatish_ec]

The next AI bottleneck isn't model intelligence.

It's control.

Agents now need a runtime that can observe, approve, block, recover and audit every action.

The winning architecture may be:

Model → Harness → Hooks → Tools → Outcome

[Aatish @aatish_ec]

The AI agent stack is changing.

Model = brain.
Harness = operating system.
Hooks = control layer.
Tools = hands.
Memory = continuity.

The winning agent won't just reason better. It will operate better.

[Aatish @aatish_ec]

@mohitlaws People who voted

[Aatish @aatish_ec]

@bot @grok share the playstore url

[Aatish @aatish_ec]

@sunilgurjar01 @grok validate this

[Aatish @aatish_ec]

@LokeshVirat18K Who is RaGa?