Auditing What Your Email Agent Actually Did
Nylas introduced Agent Accounts, a hosted mailbox with six system folders that provides an immutable audit trail for email agents. The sent folder stores every outbound message as a real object, times…
Nylas introduced Agent Accounts, a hosted mailbox with six system folders that provides an immutable audit trail for email agents. The sent folder stores every outbound message as a real object, times…
A team's support triage agent suffered a prompt regression that caused it to reply to all emails for hours, highlighting the need for least-privilege access control in AI agent fleets. The Nylas secur…
Anthropic's Model Context Protocol (MCP) standardizes how LLM-powered applications connect to data sources, replacing custom integrations with a single interface. The protocol uses JSON-RPC 2.0 and su…
A developer wasted $43 rebuilding a Vectorize index in-place, causing silent degradation that triggered costly LLM fallbacks. Switching to a Blue/Green deployment strategy reduced costs to $5.50 and e…
A developer created a file-based memory architecture for AI agents using plain Markdown files to overcome the problem of agents forgetting information between sessions. The system separates static ide…
A developer building a side project to extract contact info from hundreds of business websites found that regular expressions failed to reliably parse phone numbers from messy HTML. After trying regex…
A developer argues that detecting agent failures is relatively easy, but deciding which failures to retain as memory is the truly difficult challenge. The post explores how consolidation of failure re…
A developer published a practical SEO checklist aimed at helping developers ensure their websites are crawlable and rank well in search engines. The checklist covers foundational elements like robots.…
A developer built a $0.04-per-cover image generator using Amazon Bedrock's Stable Image Core, achieving brand consistency through prompt engineering and post-processing rather than fine-tuning. The sy…
A solo developer built a morning Bitcoin checklist using three specialized agents—technical, on-chain, and macro—that run in parallel to score the market and generate a single action signal. The syste…
A backend engineer discovered a 30% bandwidth leak in a scraping pipeline caused by retries on failed requests. To fix it, they built a dynamic retry multiplier in Django that treats network overhead …
A developer built an AI agent using GPT-4o, the Browser-use library, and Playwright to automate healthcare tasks such as booking doctor appointments and downloading lab reports. The agent visually nav…
Hosted coding agents are shifting observability from an enterprise add-on to a core product feature. AWS's Bedrock AgentCore exemplifies this trend by enabling agents to run remotely, which requires r…
A developer launches a personal blog focused on FinOps, Pulumi, AI tooling, agent design, and infrastructure war stories, with occasional posts on brisket and ham radio. The first upcoming post will u…
A developer argues that the most underrated feature in a website AI assistant is the ability to say 'I don't know,' rather than optimizing for fluency. The post describes a retrieval-based system with…
A developer analyzed Google Search Console data for their indie tool Mimi Seed and found that optimizing for generative engine optimization (GEO) is effectively just traditional SEO. The real issue wa…
A developer argues that reputation systems for autonomous agents are fundamentally broken because they fail to address the cost of producing inputs like identities and vouches. The post explains that …
A developer built SecureCheck AI, a free web-based cybersecurity scanner that provides security scores and plain-English fix recommendations. The tool, built with React, Tailwind, Node.js, and Groq AI…
A developer built Quorum, a multi-region database application, by directing Claude Code, an AI coding agent, under the governance of an append-only architecture decision log. The log, containing numbe…
A developer outlines a workflow for designing a mobile app with AI, using tools like Mobbin for references and Daisy to generate cohesive screen sets from a single prompt. The process emphasizes valid…