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15:20
2026-08-20
dev.to
large-language-models

acc vs acc_norm: Why Length Bias Skews LLM Eval Scores

A developer explains how the choice between `acc` and `acc_norm` in lm-eval-harness can skew LLM evaluation results due to length bias. The raw `acc` metric favors shorter answers because it sums toke…

15:00
2026-08-20
dev.to
developer-tools

API 429 Errors: Rate Limits, Retry-After, and Safe Retries

A developer explains how to handle API 429 rate-limit errors, emphasizing the need to read response headers and bodies, identify the specific limit, and implement bounded retries with jitter. The post…

15:00
2026-08-20
dev.to
developer-tools

API Timeouts: Find the Breakpoint and Retry Safely

A developer explains that an API timeout does not necessarily mean the model is down, but rather that one participant in the request chain stopped waiting. The post outlines how to diagnose the specif…

14:59
2026-08-20
dev.to
developer-tools

Claude Code Parallel Sessions: Task Isolation and Handoffs

A developer outlines a workflow for running parallel Claude Code sessions on the same repository, emphasizing task isolation through Git worktrees, focused prompts, and handoff records. The approach r…

14:59
2026-08-20
dev.to
developer-tools

When to Start a New Claude Code Session

A developer outlines a decision framework for when to start a new Claude Code session versus continuing or compacting context, based on observable task behavior rather than token counts. The guide inc…

14:59
2026-08-20
dev.to
developer-tools

CLAUDE.md Rules for Claude Code That You Can Check

A developer from BetterToken outlined best practices for writing CLAUDE.md project rules that make Claude Code predictable, emphasizing observable checks, short contracts, and clear boundaries. The gu…

14:03
2026-08-20
dev.to
artificial-intelligence

The Reasoning Ledger: Remembering Decisions, Not Just Data

In the fourth installment of the Building the AI Memory Stack series, the developer introduces the Reasoning Ledger, an architectural layer that preserves the observable decision-making process behind…

14:00
2026-08-20
dev.to
machine-learning

What a Code Completer's Eval Never Measures: Ghost Text

A developer built pycomplete, a code completer using a 2.48M-parameter transformer blended with n-gram and cache models, and reported top-1 accuracy of 54.6% on held-out files. However, when scoring t…

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