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developer-tools
148 postsDesigning UX Without a Screen: Lessons from an MCP Server
A developer shares how building an MCP server forced UX decisions into tool names, schemas and auth design—with no screen, buttons or visual cues to rely on.
Parlel Emulates 250+ Services Locally With Real Wire Protocols
Parlel runs 250+ services like Postgres, Redis, Stripe and S3 locally using real wire protocols, offering a free, fast alternative for testing and AI coding agents.
Why the AI Bill Grows Inside the Agent Loop
Token-saving tricks barely move the needle on AI agent costs; the real spend comes from retries, agent turns, and parallel subagents. A look at Copilot's billing shift.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comDoes Code Cleanliness Affect Coding Agents?
Research explores the impact of code cleanliness on autonomous coding agents, highlighting its importance for efficiency in AI-driven development.
From Prompt Files to Agent Skills: Rebuilding Content Automation
Three separate Copilot prompt files were merged into one portable agent skill, simplifying content publishing and making it work with any AI agent.
Giving an SDR agent its own reply inbox with Nylas
How Nylas Agent Accounts let SDR agents own an inbox, classify replies and pause outbound sequences the instant a prospect responds.
FableCut: an open source video editor AI agents can drive
FableCut uses a single JSON project file as its interface, letting humans and AI agents share one video timeline via a simple revision counter.
hot-lib-reloader Lets You Hot-Reload Rust Code Without Restarts
hot-lib-reloader reloads dylib-based functions into a running Rust program without restarts, speeding dev loops while carrying real limitations.
Give the AI Agent the Harder Job: Ambiguity Yields Better Results
Giving AI agents ambiguous, harder tasks—paired with rigorous verification—surfaces hidden bugs and tackles the backlog work engineers never had time for.
An Error Notebook for AI Agents: 266 Rules, 66 Catches
A developer built a layered 266-rule 'error notebook' to stop his AI coding agent from repeating mistakes, catching one recurring error 66 times over two months.