What separates companies that transform in the agentic era from those simply upgrade tech stack? At Salesforce TDX, I spoke with Raju Malhotra, @CertiniaInc about this shift from systems of record → intelligence → execution. Having been both a solution architect at Oracle and
AGENTS
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AI-Native Engineering Teams: How Coding Agents Transform Development
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AI-native software engineering teams operate very differently than traditional teams. The obvious difference is that AI-native teams use coding agents to build products much faster, but this leads to many other changes in how we operate. For example, some great engineers now play
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China Blocks Meta Acquisition of Manus AI Agent
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China is blocking the Manus acquisition by Meta. A few things stand out: – China has historically been more opaque and less public in restricting foreign acquisitions of Chinese tech assets, while the US (CFIUS) has been more explicit and aggressive (e.g. Lattice)
– Manus had -
Coding Agents Overhyped Cannot Reliably Obey System Prompts
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This is totally wrong. Blaming the user is missing the point that (a) coding agents have been overhyped and (b) can’t reliably obey the rules given to them in system prompts and other guardrails.
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AI Agents Token Costs: Systematic Study on SWE-bench
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How do AI Agents spend your money? Most teams treat agent token costs as a rounding error even though the data says they shouldn't. New paper presents the first systematic study of how agents actually spend money on coding tasks. They ran 8 frontier LLMs on SWE-bench Verified
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Progressive Disclosure in Deep Agents: Box and LangChain Event
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Progressive disclosure keeps agents focused. Join us at Interrupt May 13-14 for a conversation with @levie about @Box + Deep Agentshttps://t.co/fPMwmmdSxf https://t.co/qpsqWL0GWO
— LangChain (@LangChain) 27 avril 2026Progressive disclosure keeps agents focused. Join us at Interrupt May 13-14 for a conversation with @levie about @Box + Deep Agents https://
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Comparing browser-use and ManusAI agent tools
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@finkd you can try to buy @browser_use instead of @ManusAI
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AI Conductor Model Uses RL to Automate Prompt Engineering
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For the past few years, humans have been doing “prompt engineering” to coax the best performance out of different LLMs. In this work, we explored what happens if we train an AI to do that job instead. By training a Conductor model with RL, we found that it naturally learns to
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AI Conductor Framework Learns to Orchestrate Multiple Agent Teams
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Introducing our new work: “Learning to Orchestrate Agents in Natural Language with the Conductor” accepted at #ICLR2026 https://
arxiv.org/abs/2512.04388 What if we trained an AI not to solve problems directly, but to act as a manager that delegates tasks to a diverse team of other AIs? -
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