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From Blind Spots to Merged PRs: Continuous Agentic Performance Optimization - May Walter, Hud
AI Engineer· 2026-07-19 13:45
AI Adoption & Engineering Challenges - AI adoption primarily enhances individual effectiveness, yet software delivery instability remains a significant concern [6] - Engineering team throughput has not seen the expected gains from AI, as software tends to break more frequently [7] - The research phase for performance optimization remains a "black box," often requiring anywhere from one hour to several weeks of engineering time to investigate [2][10] Agentic Workflow Strategy - Thundra implements a runtime intelligence layer that captures function-level and forensic context to enable autonomous performance optimization [4][28] - Automated workflows are designed to be vendor-neutral regarding compute, model selection, and infrastructure to ensure long-term maintainability [13][14] - The system utilizes GitHub Actions to run weekly analyses, identifying high-ROI (Return on Investment) performance opportunities based on production data [17][18] - To ensure reliability, the agentic process verifies fixes by rerunning tests and measuring impact on specific business flows, such as those invoked 7,000 times per week [20][21] Operational Best Practices - Effective automation requires "context over cleverness," where agents are provided with deep production insights—such as P99 latency thresholds—rather than relying on static code analysis [29][34][43] - To prevent "alert fatigue," the system avoids flooding developers with excessive pull requests, instead surfacing human-friendly reports that prioritize high-impact, low-risk changes [35][39] - Achieving autonomous engineering requires reaching a 80-90% trust threshold, which is significantly higher than the confidence level required for human-assisted AI coding in an IDE [47][48]
Investors Eye Upcoming Earnings for AI Payoff Clues
Bloomberg Television· 2026-07-19 13:26
Alphabet, IBM, Intel, and Tesla all reporting second quarter earnings in the coming days with us now in studio from Washington. Hey. Nathan Hager, cohost of Bloomberg Daybreak, and Bailey Lipshultz with us as well, Bloomberg senior equities reporter.Nathan, great to see you. Nice to be Nice to be seen. I love that.For our radio audience, this is what I look like. The grand reveal. Did not disappoint.Yeah. Did not disappoint. Nathan, just set the table for us here.There has been a lot of kind of anxiety in j ...
X @OKX
OKX· 2026-07-19 00:00
RT Master (@Coinmaster100x)GM guys,Got some funds sitting and been thinking about buying some US stocks the last few days.Not my first time, but I want something smooth and easy to access.Then I got a notification from #OKX.The whole US stock lineup is on @OKX now. AAPL, NVDA, TSLA, MSFT. One asset per stock, one order book. Already listed. LFG. ...
X @Anthony Pompliano 🌪
Anthony Pompliano 🌪· 2026-07-18 21:54
Market Sentiment and Investment Activity - Microsoft (MSFT) emerged as the most frequently traded stock by members of Congress during the first 6 months of the year, with 23 separate purchase transactions recorded [1] - Legislative interest in Microsoft persisted despite a nearly 20% decline in the company's stock price during the same period [1] Strategic Industry Outlook - Lawmakers responsible for shaping AI policy perceive the recent sell-off in Microsoft shares as a strategic buying opportunity [1]