PAD+ AI is an open research platform for building modular cognitive architectures around existing language models. The project aims to move beyond simple prompt-to-response systems by adding layers fo…
A developer integrated file conversion into AI assistants like Claude and Cursor using the Model Context Protocol (MCP) and the Convertica API, eliminating the need to leave the editor for format chan…
Barbacane, an AI tooling company, argues that developers don't have a prompt problem but a context-window problem, drawing from 'The Token Manifesto.' The company's product enforces API specs as the s…
A developer created Yibelang (Y-ibe), a tiny programming language that lets users write machine learning as ordinary English sentences, one per line. The Y-ibe tool translates sentences into real Pyth…
A developer ran a six-week experiment pitting two AI code reviewers—Claude Code and Gemini—against each other in an adversarial review pipeline. The results showed 0 escapes out of 200 real issues, 0 …
A developer argues that most engineering teams are deploying AI agents with excessive human oversight, creating automation that requires more attention than the manual processes it replaced. The solut…
A developer built QuizPaste, an AI quiz generator that prevents hallucinated questions by requiring each generated question to cite a specific sentence from the user's source text. If the code cannot …
Testing AI-powered web applications requires different strategies than traditional APIs due to variable model outputs, context-dependent safety behavior, and agentic workflows. Developers must verify …
Nylas introduced Agent Accounts, which give voice AI agents a real, owned email address to send follow-ups and receive replies without human intervention. The feature bridges voice and email channels …
A developer at Nylas built a webhook-driven email pipeline for AI agents, replacing wasteful polling with an event-driven architecture. The pipeline uses Nylas Agent Accounts, webhooks, and a queue to…
A developer at Nylas explains how to make AI email agents idempotent against duplicate webhooks, a problem that arises because Nylas webhooks are at-least-once and can deliver the same event up to thr…
Nylas has introduced Agent Accounts that expose the same mailbox over both its v3 API and IMAP/SMTP, allowing legacy tools that only speak email protocols to interact with an AI agent's mailbox withou…
Nylas engineer shows how to summarize long email threads for AI agents by compressing older turns into a brief while keeping the latest message verbatim, avoiding context-window overflow. The approach…
A developer building a RAG system from scratch found that retrieval failures, not model errors, caused incorrect answers. Two questions failed: one due to paragraph-based chunking cutting sections too…
A developer created a two-stage workflow to detect data leakage in machine learning models. The first stage checks for linear correlations using pandas' corrwith, while the second uses a shallow decis…
A developer known as JustVugg built Colibri, a pure C inference engine that runs the 744-billion-parameter GLM-5.2 model on a laptop with 25 GB of RAM by streaming experts from disk instead of loading…
Rijul, the developer behind git-lrc, explains how agent skills work as a way to give AI agents procedural knowledge through a SKILL.md file. Skills use progressive disclosure to load only names and de…
A developer discovered that Google's Gemini ecosystem silently provisions cloud compute and executes Python scripts for complex queries, consuming 50% of their 5-hour compute quota in minutes. The dev…
A developer spent a week studying Retrieval-Augmented Generation (RAG) and identified its limitations. While RAG allows LLMs to answer questions using external knowledge, it does not solve every probl…
A developer details how to build high-performance edge AI pipelines on Android using CameraX and TFLite, addressing common performance pitfalls like the 'Edge AI Wall' and advocating for hardware acce…