TL;DR

• •Most engineering teams operate without clear understanding of their true monthly cost (estimated €87k/month for an 8-person team).
• •Internal platform teams must save users ~3 hours/week to break even, a metric often untracked.
• •LLMs are forcing a re-evaluation of engineering headcount as a financial asset, demanding greater cost awareness.

TL;DR

• •GLM-5.1 surpasses previous models on complex coding benchmarks like SWE-Bench Pro and NL2Repo.
• •Unlike earlier models, GLM-5.1 maintains performance over extended agentic tasks, demonstrating sustained optimization through iteration.
• •The model excels at breaking down complex problems, analyzing results, and revising strategies over hundreds of rounds of tool calls.

TL;DR

• •Anthropic's Claude Code (Opus) has reportedly suffered a significant quality regression for complex engineering tasks since February 2026 updates.
• •Analysis of nearly 18,000 thinking blocks points to 'thinking content redaction' and a drastic reduction in model 'thinking depth' as the primary culprits.
• •The model now frequently ignores instructions, offers incorrect fixes, and exhibits 'edit-first' behavior, making it unreliable for senior engineering workflows.
• •The regression's timeline precisely correlates with the rollout of thinking content redaction, indicating a structural requirement for extended thinking.

TL;DR

• •Most engineering teams operate without clear understanding of their true monthly cost (estimated €87k/month for an 8-person team).
• •Internal platform teams must save users ~3 hours/week to break even, a metric often untracked.
• •LLMs are forcing a re-evaluation of engineering headcount as a financial asset, demanding greater cost awareness.

TL;DR

• •GLM-5.1 surpasses previous models on complex coding benchmarks like SWE-Bench Pro and NL2Repo.
• •Unlike earlier models, GLM-5.1 maintains performance over extended agentic tasks, demonstrating sustained optimization through iteration.
• •The model excels at breaking down complex problems, analyzing results, and revising strategies over hundreds of rounds of tool calls.

TL;DR

• •Anthropic's Claude Code (Opus) has reportedly suffered a significant quality regression for complex engineering tasks since February 2026 updates.
• •Analysis of nearly 18,000 thinking blocks points to 'thinking content redaction' and a drastic reduction in model 'thinking depth' as the primary culprits.
• •The model now frequently ignores instructions, offers incorrect fixes, and exhibits 'edit-first' behavior, making it unreliable for senior engineering workflows.
• •The regression's timeline precisely correlates with the rollout of thinking content redaction, indicating a structural requirement for extended thinking.