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The article discusses an experiment where a code assistant had to design an agentic system using LangChain4j documentation. The assistant created a coding framework capable of writing, testing, and debugging code autonomously. Results showed that two architectural patterns—supervisor and workflow—offered different trade-offs between flexibility and execution speed during debugging tasks. By Kevin Dubois, Mario Fusco

EU law gives researchers unprecedented rights to scrutinize Big Tech. Researchers say Tik Tok, X, and Meta are still deciding who gets to look inside.

The teleprompter that actually listens Discussion | Link

All your coding agents, synced everywhere, free forever Discussion | Link

The data isn't the hard part. Cleaning it is. SEC EDGAR is public, free, and a mess. Every quarter, 13,000+ institutional investment managers file Form 13F, disclosing their U.S. equity holdings. In theory that's a beautiful dataset — every hedge fund, every pension fund, every bank, all in one place. In practice, the raw filings actively fight you: The same institution files under different names, sometimes even in the same quarter. In our own database right now: BlackRock, Inc. and BlackRock Inc. are two distinct CIK registrations for what most people would call "one" institution. Multiply that across 13,000+ filers and you get a long tail of near-duplicate names that break any naive GROUP BY institution_name . CUSIPs don't map cleanly to tickers. Foreign issuers frequently use CUSIP prefixes that don't resolve through the usual reference data — we ended up building a fallback resolution path (Yahoo Finance lookups plus manual validation rules) just to keep ticker coverage from silently degrading over time. Quarters arrive gradually, not all at once. The SEC gives managers up to 45 days after quarter-end to file. If you naively take "the latest quarter with any data" as your reporting period, you'll rank a barely-started quarter — where only a handful of small filers have reported so far — ahead of the real, complete prior quarter. We learned this the hard way: an unclamped "most recent quarter" query once let 115 newly-onboarded institutions' entire existing portfolios get counted as "new inflow" with nothing to offset them, because a first-time filer has no prior-quarter row to diff against. That's the kind of bug that doesn't throw an error — it just quietly produces a chart that looks plausible and is wrong. Amendments (13F-A) revise, replace, or partially restate earlier filings , and the XML schema itself has shifted over the years, so parsing "just the latest 13F" isn't a fixed target. None of this is exotic — it's the normal cost of working with real-world

How I Built an SSR Valorant Tracker with React, Supabase and Live Esports Data I recently built VALTRAIN , a player-focused Valorant platform that combines a Valorant Tracker, VCT match database and weapon skins explorer. The project started as a simple match history lookup page. It eventually became a much larger SSR application with player statistics, esports schedules, match detail pages, replay discovery, multilingual routes and searchable cosmetic data. The Main Product Areas VALTRAIN is divided into three primary areas. 1. Valorant Tracker The Valorant Tracker accepts a Riot ID and region. It can display: Current rank and RR Recent competitive and unrated matches KDA and combat score Headshot, body shot and leg shot data Competitive RR movement Lifetime performance statistics Individual match details and team compositions One challenge was handling incomplete or delayed data from an external player API. The interface needed useful loading, empty and error states instead of leaving users with an endless spinner. 2. VCT Match Database The VCT esports database stores upcoming and completed matches. Each public match can have: Tournament and stage information Team names and series scores Map-level results Player statistics Recent team form Official replay availability Related matches and internal links The project also includes an original VCT performance report generated from completed match records. 3. Valorant Weapon Skins The weapon skins database allows players to browse skins by collection, weapon type, rarity, price and chroma. The main performance challenge was preventing high-resolution media from slowing down the initial page load. Why I Moved the Site to SSR The original version relied heavily on client-side rendering. That worked for user interaction, but it created several problems: Public pages had limited initial HTML Search engines had to execute JavaScript Metadata was harder to control Dynamic routes occasionally returned weak fallback pages Firs