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Joined November 2025
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Stay up to date with agentic coding in just 5 minutes per week
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Issue 32 is out. Read it in your inbox!
Agentic coding updates for the last week
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Agentic Coding Weekly retweeted
Issue 26 is out, covering agentic coding updates from last week: GPT 5.6, Grok 4.5, Muse Spark 1.1, Tencent Hy3, Bun rewrite in Rust, and broken tasks in SWE-bench Pro Read it in your inbox!
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Agentic Coding Weekly retweeted
Executive summary to catch up on the whole month (Jun 2026) of agentic coding updates in two minutes: 1. June was a busy month for agentic coding. We got Fable 5 / Mythos 5, GLM 5.2, GPT 5.6, Sonnet 5, MiniMax M3, Qwen 3.7 Plus, and several other models.
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Anthropic has released Claude Sonnet 5 On the agentic coding benchmarks: - 63.2% on SWE-bench Pro - 80.4% on Terminal-Bench 2.1
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The model has a new tokenizer where the same input text produces approximately 30% more tokens than on Claude Sonnet 4.6 which means effectively a 30% price increase
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Agentic Coding Weekly retweeted
Added a couple of quick utilities to my terminal which uses local speech-to-text with Pi coding agent to solve the problem of writing complex command like find largest files in the current directory: `find . -maxdepth 1 -type f -exec du -h {} + | sort -rh | head -n 5`
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Zai has released GLM-5.2 extends the context window from 200K to 1M tokens and adds High/Max thinking-effort controls scores 81.0% on Terminal-Bench 2.1 and 62.1% on SWE-bench Pro
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- On the ultra-long SWE-Marathon it trails Opus 4.8 by 13% It's the top open model on all three
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API pricing is $1.40 per million input tokens and $4.40 per million output
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Issue 24 is out, covering agentic coding updates from last week: Claude Fable 5 & Mythos 5 access pulled by US government, Kimi K2.7 Code, GLM-5.2, MiMo V2.5 Pro UltraSpeed, and MiMo code Read it in your inbox!
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Fable 5 is on the API and consumption-based Enterprise plans now, and included on Pro, Max, Team, and seat-based Enterprise plans only through June 22 After that it requires usage credits until capacity allows it to return as a standard plan feature.
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All Mythos-class traffic carries a mandatory 30-day data retention policy, and that data is not used for training
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On Terminal-Bench 2.1 it scores 88.0% against Opus 4.8's 82.7%, GPT-5.5's 83.4% (Codex CLI), and Gemini 3.1 Pro's 70.7% (Gemini CLI)
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