Developer Ishika Thakur built PawPal, an AI-powered web app that helps new dog owners understand their pets' behavior. The app uses Google Gemini to generate personalized explanations and suggestions,…
A developer running llmlatency.dev measured time-to-first-token (TTFT) and time-to-first-byte (TTFB) for about 45 AI inference providers from four regions, finding that the two metrics often produce c…
A developer's blog post on Loop & Retry details how to build observability into retry decisions for LLM agents in production. The post emphasizes that retry attempts are indistinguishable between tran…
A developer detailed the architecture behind a production customer service AI agent that executes workflows rather than merely answering questions, emphasizing the tool-use layer and intent classifica…
A developer wired three MCP servers into an agent and found that tool schemas consume about 7,000 tokens per turn, and because LLM API calls are stateless, those tokens are re-sent on every turn, lead…
Russell Jones's blog now runs a fully automated GitHub Actions workflow, Content Autopilot, that mines project activity, uses Claude Code headless in CI to curate and write Hugo posts, and publishes t…
A developer built an agent over a hackathon weekend to help freelancers collectively pressure non-paying clients without exposing any individual's identity. The system uses a Discord board with anonym…
A developer built a scheduled X publishing workflow using OpenAI's Codex and the official X API command-line client, xurl. The system separates editorial decisions made by the AI agent from determinis…
A developer tested DeepSeek, Qwen, Kimi, and GLM through Global API's unified endpoint, comparing them on price, performance, and features. The developer found DeepSeek V4 Flash the best overall budge…
Graph engineering is the missing fifth layer of AI agent architecture, controlling routing, parallelism, and human approval gates. A developer explains that production failures often stem from under-i…
A developer proposes using Telegram and AI automation to create a personalized social media feed, avoiding the algorithms of mainstream platforms. The idea, inspired by YouTuber Abo Ziad, aims to cura…
NexFlow, an open-source project for defining AI developer teams via YAML manifests, highlights the limits of JSON Schema validation. The project's validator checks 113 manifests against 17 schemas, bu…
A developer explains the distinctions between agent state, memory, and checkpointing in AI agents, emphasizing that while related, they serve different purposes. The post clarifies that state is the c…
An engineer measured the effectiveness of a 1,350-line CLAUDE.md file for AI coding agents, running 30 tests across six configurations. The results showed that the model followed the rules 399 out of …
GitHub's repository for Binaryify/open-kimi-ppt-skill has been archived and cleared of all content except a README citing copyright reasons, leaving its core claims unverifiable. The project page stil…
A developer's side project to troubleshoot infrastructure via a Discord bot evolved into AcornOps, a self-hosted AIOps platform built with collaborators konglyyy and ning. The platform aims to let AI …
Proof of Walk, a new app by developer Arqam Waheed, lets dog walkers record their route on a phone, hash it in the browser, and commit a signed attestation to Solana devnet, allowing owners to verify …
Software engineer Zach, who has used AI agents daily for over a year, warns that excessive delegation of coding and writing to AI is eroding developers' own thinking and understanding. He describes a …
A developer detailed an observability contract for AI workflows, emphasizing audit trails over prompts and outputs to ensure trust in automation. The approach, implemented in n8n and agent wrappers, c…
Developer Iyad AlKentar built FetchQuest, a dog-vs-raccoon battler on the Solana devnet, using spec-driven development. The app generates a dog with random stats and personality, creates an AI-drawn p…