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Spec-Driven Development with Claude Code: Writing Bulletproof Specs
I have written enough specs for Claude Code now to have hit the failure mode nobody warns you about. The spec was fine. The plan was fine. Claude worked through the tasks, ran the test suite, and reported everything passing. I looked at the diff properly the next morning and found it had converted a [ ] The post Spec-Driven Development with Claude Code: Writing Bulletproof Specs appeared first on Analytics Vidhya.
Bug Detection Blind Spots in AI Coding Harnesses (GStack and Beyond)
28 debugging experiments reveal that AI struggles less with complexity than with missing information. The post Bug Detection Blind Spots in AI Coding Harnesses (GStack and Beyond) appeared first on Towards Data Science.
Building a Proper Backend for My LangGraph AI Agent
Turning a demo agent into something that can keep real booking data The post Building a Proper Backend for My LangGraph AI Agent appeared first on Towards Data Science.
Multi-Document RAG: A Folder of Unrelated PDFs Is One Long Document with a Nested Outline
Enterprise Document Intelligence [Vol.1 #14B] - No shared fields means no index to build. One summary line per file plus each file’s own table of contents, and retrieval routes down two levels The post Multi-Document RAG: A Folder of Unrelated PDFs Is One Long Document with a Nested Outline appeared first on Towards Data Science.
Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call)
LoRA fine-tuning solved our under-labeling problem. Whether it makes sense for you depends on three questions. The post Why We Fine-Tuned SigLip (And Why That’s Not Always the Right Call) appeared first on Towards Data Science.
Top 5 Agentic AI Research Papers of 2026
Agentic AI research in 2026 has moved past the basic question of whether a model can be called a tool. The harder questions are whether an agent can finish long workflows, survive live websites, verify its own work, recover from failure, and improve its process over time. The five papers below map that shift well [ ] The post Top 5 Agentic AI Research Papers of 2026 appeared first on Analytics Vidhya.
Running Codex as a Headless Agent
Turning Codex from an interactive assistant into a programmable automation component The post Running Codex as a Headless Agent appeared first on Towards Data Science.
Estimating from No Data: Deriving a Continuous Score from Categories
A walkthrough of and the maths behind using low-capacity networks to acquire fine-grained scoring when only categorical labelling is available for training The post Estimating from No Data: Deriving a Continuous Score from Categories appeared first on Towards Data Science.
Retrieve One Row from a Table, Not the Whole Table: Row-Level Chunks for RAG
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 one row the reader asked about The post Retrieve One Row from a Table, Not the Whole Table: Row-Level Chunks for RAG appeared first on Towards Data Science.
The Types of Dimensions in a Star Schema, and How to Use Them
Dimensions are one of the two main object types in dimensional modelling. But what are the different types of dimensions? And how can you use them? The post The Types of Dimensions in a Star Schema, and How to Use Them appeared first on Towards Data Science.
Bayesian Guardrails for AI Decisions: Measuring Uncertainty Before Automating Decisions
AI systems should not automate a decision simply because they can provide a prediction. A decision system should consider how uncertain the prediction is and defer if a mistake would be costly. The post Bayesian Guardrails for AI Decisions: Measuring Uncertainty Before Automating Decisions appeared first on Towards Data Science.
How Benders Decomposition Works, Part II: Feasibility Cuts
Learning about Farkas' lemma and how it can inform Benders decomposition to learn from infeasibility, applied to the capacitated facility location problem. The post How Benders Decomposition Works, Part II: Feasibility Cuts appeared first on Towards Data Science.