PinnedPublished inAI AdvancesChopping Language, Weaving MeaningTokens and Embeddings in LLMsAug 1A response icon10Aug 1A response icon10
PinnedPublished inAI AdvancesFrom Bag-of-Words to GPTThe Breakneck Evolution of Large Language ModelsJul 28A response icon8Jul 28A response icon8
PinnedPublished inReaders ClubWhy Software Development Gets Harder in TeamsThe Hidden Human Patterns That Slow Down Great TeamsJul 5A response icon6Jul 5A response icon6
PinnedPublished inTechnology HitsThe Messy Reality of Cross-Functional TeamsWhy They’re Hard, How They Succeed, and What Actually Makes the DifferenceApr 27A response icon8Apr 27A response icon8
PinnedPublished inStackademicWhy Continuous Integration Is Killing Your Productivity Instead of HelpingContinuous Integration is a powerful tool, but when misapplied, it can become a productivity killerApr 30A response icon26Apr 30A response icon26
Published inAI AdvancesFrom Points to Policies: How Scoring and Ranking Models Grow UpA map of scoring and ranking methods for engineers and product leads: when simple weighted scores are enough and when to bring in…3d ago3d ago
Published inAI AdvancesContext Window vs Long-Term Memory: What Each Is ForDesign the context window, retrieval, and long-term notes like a system, not a stunt.Nov 8Nov 8
Published inAI AdvancesSoftware That RemembersSoftware that remembers, not just computes. Practical rules for recall, consent, expiry, and provenance.Nov 6A response icon1Nov 6A response icon1
Published inWrite A CatalystWhy Every Team Needs a Historian, Not Another HeroBuild resilience with context that outlives people and time zonesOct 30A response icon1Oct 30A response icon1
Published inAI AdvancesContext Engineering: What AI Models Should ReadPrompts set intent. Context chooses the facts, history, and tool outputs so an AI stays coherent over long tasks.Oct 29Oct 29
