agentic coding

InsForge is an open-source backend platform for agentic coding, giving AI coding agents access to database, auth, storage, compute, hosting, and an AI gateway. The repo includes a clear quickstart, MCP server support, and both cloud and self-hosted workflows.

An open-source mixture-of-agents server that fans prompts out to multiple LLMs, judges the responses, and synthesizes a final answer. It exposes an OpenAI-compatible API and also includes an agentic coding harness plus integrations for tools like Claude Code, aider, Continue, LangChain, and Pi.

Harness is an agentic IDE for running coding agents on remote machines over SSH, with one-click backend setup, backend switching, web access, and notifications across machines.

Fuse is an open-source .NET MCP/CLI tool that helps coding agents work on C# codebases with Roslyn-backed indexing, dependency injection and route resolution, scoped context reduction, and compiler checks before edits are written.

Modular desktop IDE built for agentic coding, with dockable panels, an MCP sidecar, plugin support, and built-in tooling for debugging, verification, memory, and secrets handling.

Harbor is a local AI stack and launcher for starting pre-configured agentic coding tools against different backends, with support for tools like Codex, OpenCode, Claude Code, and web-enabled workflows.

A VS Code blog post explaining how GitHub Copilot’s agentic harness is being optimized to reduce token usage, latency, and cost through extended prompt caching, tool search, and WebSocket connections.

Kiwi is a secure agentic control plane for running autonomous developer loops in the cloud while keeping secrets on the local machine. The repo describes a reverse-tunnel flow, credential caching, pause/resume behavior, Docker sandboxing, and a dashboard for monitoring tasks.

A Topos case study showing how a guided refactor of a synthetic healthcare claims engine reduced token usage, wall time, and estimated cost for later Gemini feature sessions.

Anthropic research report on how people use Claude Code in practice, based on a large privacy-preserving analysis of session data. It covers task types, division of labor between user and model, and how domain expertise affects outcomes.

A monthly briefing on agentic coding developments, covering model releases, benchmarks, tool updates, and workflows for engineers and technical leaders.