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News
Coding Agents Don't Need Longer History??? They Need Intent Continuity
2+ day, 16+ hour ago (1738+ words) I built a system that automatically discovers, verifies, and applies relevant requirements from earlier interactions without asking the user where they came from. I built a complete, working implementation in pure Python and shared actual benchmark numbers from real runs…...
5 AI Skills That Will Keep Data Scientists Relevant in 2027
1+ week, 5+ day ago (1817+ words) What each one solves, and runnable code you can paste into a notebook. Anyone can now build an LLM demo with a single API call. Getting that same feature to survive real users, real data, and a real bill is…...
Your LLM Can Return Perfect JSON and Still Be Wrong
1+ week, 6+ day ago (1426+ words) What I learned after thinking more carefully about Structured Outputs on messy, incomplete data Three weeks after I turned on Structured Outputs for a pipeline that parsed payment confirmation messages into transaction records, I noticed that our reconciliation job started…...
Loop Engineering for RAG: The Small Loops Inside Each Step, the Big Loops Across the Pipeline
4+ week, 1+ hour ago (1680+ words) A one-shot pipeline commits to its first try: parse once, retrieve once, generate once, return whatever comes out. When retrieval comes back empty or the answer is half-formed, there is no second chance. A loop gives the pipeline one: notice…...
Context Engineering Is Changing. Here???s What It Means for Data Scientists
2+ week, 16+ hour ago (1470+ words) How to apply the latest context engineering guidelines to your day-to-day data science work There are so many positive sides that come with using systems like Claude; all the repetitive, routine coding gets automated, researching is quicker, and debugging becomes…...
4 Claude Skills Every Data Scientist Needs in 2026
2+ week, 1+ day ago (1306+ words) Blueconic sets this cookie as a unique identifier for the BlueConic profile. Four skills worth adding to your workflow today if you don't want to be left behind A couple months ago I wrote about 3 Claude skills every data scientist…...
One Document Type, a Million Files: Structured Extraction into the SQL Table RAG Queries
2+ week, 5+ day ago (1842+ words) Enterprise Document Intelligence [Vol.1 #14C] - One hour with two people, six to ten fields, and the two signals that separate a real column from one that will break a filter later A lot of RAG work right now goes into letting…...
Bug Detection Blind Spots in AI Coding Harnesses (GStack and Beyond)
3+ week, 22+ hour ago (1761+ words) 28 debugging experiments reveal that AI struggles less with complexity than with missing information. If you’ve watched a coding agent in action, you’ve probably noticed the default workflow: let the AI handle the routine bugs, but step in when the problem…...
Retrieve One Row from a Table, Not the Whole Table: Row-Level Chunks for RAG
3+ week, 2+ day ago (928+ words) Enterprise Document Intelligence [Vol.1 #7sexies] – The unit of retrieval doesn’t have to be a page or a paragraph. When the corpus carries tables, each body row with its column headers is a chunk in its own right, and it’s often the…...
Making the Knowledge Layer a Graph You Actually Traverse
3+ week, 3+ day ago (1731+ words) Why retrieval quality should be a property of the system, not of the question's wording? Rebuilding knowledge layer with graph traversal on every query, bitemporal edges, and two-threshold entity resolution. The architecture held up. The contradiction register refused to answer…...