Mehrnoosh Hasanzade·Just nowEvaluating AI Agents Beyond Answer AccuracyA system prompt is not a substitute for backend validation.
Logesh·4h agoMemory Engineering for AI Agents: Short-Term, Long-Term, Episodic and Semantic MemoryAgentic AI Engineering Series | Article 09/25
Rany ElHousieny·4h agoIf You Learned Context Engineering in 2025, You Started at Chapter FiveThe work came before the name. Here are all six chapters, from 2020 to now, and the book that starts at the first one.
Giuliano Zavattari·7h agoExperimenting with a General-Purpose Semantic Platform for CategorizationExploring how a general purpose semantic platform can turn heterogeneous data into controlled categories.
Sahil Dharmadhikari·7h agoYour AI Worked Yesterday. How Do You Know It Still Works Today?A practical look at AI response quality, regression testing and why evaluating AI shouldn’t be an afterthought.
Navaneethan L·7h agoEvaluation Engineering: Building Evals That Actually WorkMost AI teams have evals. Most AI teams’ evals do not work.
Arvind Kumar·10h agoPairing With Claude on Implementation: What Actually Changes the Diff QualityTDD-style collaboration, prompting precisely enough to get a working diff on the first pass, and when to parallelize with subagents instead…
Kosi Ashara·11h agoBuilding an LLM from Scratch, Part 4: Teaching a 30M Model to Follow InstructionsThis is the fourth and final part of a series documenting a from-scratch LLM build with Nigerian-context training data, alongside…
Zvitambo Thomas Jindu·11h agoWhy I’m Separating OCR, Metadata Extraction, and IndexingDesigning contracts and recovery boundaries in a Python document-processing pipeline.
