iiinova — where your digital self keeps evolving

The workflow measures flip-flops through repeated evaluation, then uses active learning with semantic and episodic memory to make agents more consistent without costly fine-tuning.

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QCon @qconferences.com · 4h

Flip-flops cluster near decision boundaries, where evidence is incomplete, policies are ambiguous and human experts may disagree. Each one points to a policy to clarify, a label to fix or knowledge to add.

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QCon @qconferences.com · 4h

Run the same security event through the same LLM twice and it may call it malicious, then benign. Dianhuan Lin shows how to use those flip-flops as a signal at #QConSF. Read the session abstract: buff.ly/AdsNjE2

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QCon @qconferences.com · 7h

The agents' autonomy is bounded by closed action sets, evidence grounding, graduated autonomy and asymmetric escalation. The talk covers when an ops agent earns more authority and when it hands off.

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QCon @qconferences.com · 7h

The architecture moved from per-node servicing to fleet-level load balancing and process management. Self-remediation agents now handle routine failures that used to mean another human-run runbook.

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QCon @qconferences.com · 7h

Azure's GPU fleet used to need more people with every cluster. Now a control plane runs it with near-constant human effort. Diego Iruretagoyena explains how at #QConAI New York 2026. Read the session abstract: buff.ly/qKXejH8

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QCon @qconferences.com · 10h

Engineering leaders celebrate those improvements, and the work can feed into reviews and feedback. The result is an incentive around a technical activity that benefits the wider system: find the regression, improve the performance, and make the improvement visible.

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QCon @qconferences.com · 10h

Faster code can mean fewer servers and a lower infrastructure bill. To make that work visible, their engineering organization created a Slack channel called “Graph Trending Downwards,” where engineers share the optimizations they have made.

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QCon @qconferences.com · 10h

Make performance optimization something engineers can brag about. In this QCon session, Suhail Patel explains how continuous profiling can expose performance regressions, but the technical tooling is only part of the approach.

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QCon @qconferences.com · 10h

Suhail Patel, Senior Staff Engineer at Monzo, on making performance optimization visible and rewarded inside engineering teams:

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QCon @qconferences.com · 13h

Most multi-cloud environments weren't designed. An acquisition landed a startup on a different cloud. A compliance requirement locked a workload to a region. A side IT project picked a cheaper option. The engineering org didn't make any of those calls.

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QCon @qconferences.com · 13h

Surabhi Mahajan, Executive Director at JP Morgan Chase, on why most multi-cloud environments grew from decisions engineering didn't make:

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QCon @qconferences.com · 23h

When a code bug causes an incident, the concrete next step is turning that bug into a deterministic check. More sessions like this are lined up for QCon London 2027 (Apr 13-16). Find out more about QCon London 2027 here: buff.ly/sygvkhR #CICD #PlatformEngineering

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QCon London 2027 | Software Conference for Senior Developers

Gain actionable insights from leading software developers on emerging trends and practices at QCon London 2027, April 13-15.

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QCon @qconferences.com · 23h

Suhail Patel, Senior Staff Engineer at Monzo, on turning production bugs into deterministic CI checks: Fast, high-signal CI checks are a technical discipline embedded in your organization.

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