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Cross-posted from my blog. Canonical version: https://launchsoloai.com/insights/runcap-vs-langfuse-vs-litellm-ai-cost-control You let a coding agent loose on a task. It loops. It re-reads the same files, re-summarizes the same context, retries the same failing call. Forty minutes later you check the
Note: This post contains architecture diagrams. For the fully rendered version visit the original post. AI coding assistants have fundamentally changed how developers write software. The best ones do one thing well: collapse the distance between the developer's intent and the code that expresses it.
What building KYC verification taught me about the difference between encryption and hashing - and why getting that choice wrong would have broken the entire feature VaultPay is a wallet microservice I built on top of AuthShield. I Built AuthShield and Immediately Knew It Wasn't Enough The Silent Fa
I spent the last few months trying to understand why reconciliation errors keep appearing in high-throughput pipelines. Here is what I found. Most teams assume that if a transaction shows "Success" in the database, the job is done. At high concurrency levels, that assumption breaks quietly. The Reco
Nine years ago, I built two versions of Highlander: an original jQuery application and a React/Redux version that used the same backend concepts. After successfully reviving and deploying the jQuery version, I turned to Highlander-react-redux. The goal was not simply to make an old repository run ag
LinkedIn automation has a trust problem. The Core Problem: Behavioral Fingerprinting LinkedIn does not just monitor what you do — it monitors how you do it. Architecture: How We Handle Timing Variation The timing engine works on three levels: Level 1 — Action Delay Each individual action (send conne
When you work with AI long enough, you start to notice it makes the same kind of mistake over and over. "You're coming on too strong, dial it back." It shrinks and goes meek. "Stop being meek." It comes on strong again. Each time you point something out, it apologizes sincerely. The next round, the
I had a long Google AI Studio (Gemini) session that I wanted to keep. I selected the conversation in the browser, copied it, and pasted it into a text file. File size: a few hundred KB. "OK, that's safe." Later, I exported the same session as JSON. File size: a few MB. More than half of the data had
I kept running eslint and thinking my codebase was fine — then someone opened a PR and the first comment was "this function needs JSDoc." The problem: linters check your syntax. Nobody checks whether your exported API is actually documented. Those are two very different things. So I built jsdocscan
Sharplink says the new nonprofit, Ethlabs, “exists to ensure the network is ready to absorb” the demand that institutions will place on it with stablecoins, tokenization and AI.
(c) SANS Internet Storm Center. https://isc.sans.edu Creative Commons Attribution-Noncommercial 3.0 United States License.
A global supplier of smartphone chips, Qualcomm has been working to reduce its reliance on the volatile handset market by branching out into fast-growing areas like data center processors and autonomous vehicle chips.
U.S. President Donald Trump is pushing for the acceleration of the nascent quantum computing industry, signing a pair of executive orders today aimed at speeding up the technology’s development and simultaneously mitigate any security concerns around them. The first order tasks federal agencies, inc
When Amazon Web Services Inc. held its New York Summit last week, Vice President of Agentic AI Swami Sivasubramanian as usual was the headline act, delivering the opening keynote. Sivasubramanian made the case to enterprise leaders that the artificial intelligence conversation has moved beyond pilot
CRED, which is set to raise Rs 8,550 crore (approximately $900 million) in a Series H funding round led by Meta, will use the fresh capital to support growth initiatives and strengthen its path toward a public listing.
Happy Tuesday! Kunal Shah has taken over as WhatsApp's chief, while Meta backs Cred in a major funding deal. This and more in today’s ETtech Morning Dispatch.
Between 2015 and 2021, India produced over 100 unicorns. Capital was abundant, and the prevailing logic of growing the user base and worrying about monetisation later reflected a genuine belief that scale would eventually take care of the economics.
It also said in its filing that the workforce adjustments were in response to various factors, including management and product changes, performance issues, strategic shifts and acquisitions.
The company's announcement follows revelations that sensitive employee data, intended to monitor digital interactions within Meta's internal systems, was accessible to all Meta staffers, according to documents reviewed by Reuters.
The Amazon Echo Hub is down 39% with a Prime Day deal that has dropped its price to the lowest we've seen.
