Welcome back to Agentic Coding Weekly. Here are the updates on agentic coding tools, models, and workflows for the week of May 31 - Jun 6, 2026.
Executive Summary:
MiniMax released M3. 1M context. 59.0% on SWE-Bench Pro. $0.60 / $2.40 per million input / output tokens.
Nvidia released Nemotron 3 Ultra, an open-source model with 550B total / 55B active parameters and 1M context.
Qwen 3.7 Plus relelased. 57.6% on SWE-Bench Pro.
GitHub Copilot launched a desktop app for managing multiple coding agents in parallel. Copilot also switched to usage-based billing.
Worth reading: A hand-written TDD skill for coding agents and /goal loop use cases.
Meanwhile, if you work with coding agents on a Python project, you must have noticed that they always directly edit pyproject.toml and add whatever dependency version they know about. I add this line to my AGENTS.md file whenever I'm working on a Python project, which fixes this issue.
We use uv to manage dependencies.
Use `uv add` and `uv add --dev` to manage dependencies.
Don't edit `pyproject.toml` directly.1. Tooling and Model Updates
MiniMax M3
Newest model release from MiniMax. 1M context window. $0.60 / $2.40 per million input / output tokens. Weights not public yet.