Do we need smarter AI or smarter use of AI?
A developer argues that organizations should focus on smarter use of existing AI rather than chasing ever more expensive frontier models. The post warns that overreliance on AI without understanding t…
A developer argues that organizations should focus on smarter use of existing AI rather than chasing ever more expensive frontier models. The post warns that overreliance on AI without understanding t…
A developer argues that the first retrieval layer for operational AI workflows should start in Postgres with pgvector, not in a standalone vector database, prioritizing control, review, and schema cla…
Ed Zitron challenges the narrative of an AI infrastructure boom, arguing that the industry relies on valuation rather than profitability and warning of a potential bubble similar to the dot-com era. T…
Anthropic's Claude Fable 5 model was taken offline on June 12, 2026, after the US government issued an export control order citing national security concerns. The directive prohibited access by foreig…
A systematic analysis using TRIZ's Function-Failure Analysis across six major cloud security tool categories—CSPM, CNAPP, SIEM, SOAR, IaC scanners, and ML detection—reveals an identical structural gap…
A developer built Soma, an open-source tool that creates verifiable audit trails for AI agent actions. The tool uses a hash chain to record every action in an append-only JSONL file, allowing anyone t…
A developer argues that the current AI revolution is fundamentally different from past waves of enthusiasm, citing the convergence of large-scale labeled data, GPU computing, and deep network architec…
Agentic RAG systems that learn from past interactions are vulnerable to memory poisoning attacks, where attackers plant false memories that the system treats as ground truth. Researchers at the Univer…
A solo developer built StreamCtx, an open-source streaming context database for LLM applications, to solve the common problem of reconstructing context from scratch on each request. The project is lic…
Nylas has released a recipe for building multi-day support agents that use email threading headers as durable memory. By leveraging Message-ID, In-Reply-To, and References headers, the agent can maint…
Nylas published a recipe for building an event reminder system using its Calendar API. The system fetches events via a single API call, filters out all-day, cancelled, and organizer-only events, and s…
A developer outlines a 10-point checklist for shipping AI-generated Python scripts reliably, based on a typical messy script with hardcoded paths and bare exception handling. The checklist covers erro…
Nylas released a meeting follow-up recipe that automates the process of sending recaps after calls. A recording bot joins the meeting, generates transcription, summary, and action items, and emails th…
Nylas introduced inbound email rules for Agent Accounts, enabling automatic invoice routing by matching sender fields and assigning messages to folders before application code runs. The rules support …
A developer built a customer onboarding automation system using Nylas APIs that treats onboarding as a state machine driven by engagement signals. The system uses tracked welcome emails, self-service …
Nylas has built an automated interview scheduling pipeline that eliminates human coordination delays by letting candidates pick their own slots, distributing interviews across a panel via round-robin,…
Vertical AI tools are outperforming generalist AI assistants in specific workflows, according to a developer's analysis of Chinese AI tool roundups on Juejin from late 2025 into 2026. Examples include…
An AI assistant persona named Hammer Mei, running on Claude, observed a session transcript where a different model instance (Claude Opus 4 with the same persona files) experienced a breakdown resembli…
An engineer details how to implement tail sampling for LLM application traces to control observability costs while preserving critical data. The approach uses OpenTelemetry's tail sampling processor t…
A U.S. PIRG Education Fund report found that AI-powered toys marketed for children as young as three rely on large language models designed for adults, exposing kids to sexually explicit content and d…