DeepSeek Releases Open-Source Evaluation Harness for AI Models

·1 views

DeepSeek AI has published a repository called DeepSeek Harness on GitHub, providing an open-source framework for evaluating AI models. The tool is designed to benchmark and assess model performance across various tasks. The release attracted attention on Hacker News, garnering 61 points and 22 comments from the developer community. Such evaluation harnesses are commonly used in AI research to standardize model comparisons and measure capabilities consistently.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Google Search Console Now Tracks Instagram, TikTok, X and YouTube Search Performance

Google has introduced Platform Properties in Search Console, allowing account owners on Instagram, TikTok, X, and YouTube to monitor how their content appears across Google Search, Discover, and Google News. The feature was announced on July 7, 2026, with global availability confirmed on July 29. Connected accounts gain access to a Performance report with click and impression data, an Insights report highlighting traffic trends and top posts, and an Achievements panel for milestone tracking. The tool is especially useful for creators and social teams who publish primarily on video or social platforms rather than traditional websites. It gives SEO and social teams a shared reporting environment to evaluate organic search visibility for externally hosted content.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

One Solo Founder's Five Hard Rules for Keeping AI Agents in Check

A solo developer running multiple small apps with AI agents has outlined five strict boundaries that keep his automated setup from going off the rails. He never lets agents send anything externally, touch credentials, or perform irreversible actions like deleting data or moving money without his explicit approval. Any new automation must come with a clear hypothesis, a measurable success metric, and a planned expiry date to prevent unchecked sprawl. Agents are also barred from making judgment calls on whether work meets quality standards — that decision always stays with the human. The author argues that true leverage from AI autonomy depends not on removing limits, but on knowing precisely where to draw them.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Tailscale Traced 19 Database Corruptions Over 6 Months to a 16-Year-Old SQLite Bug

Tailscale engineer Alex Chan published a postmortem detailing how the company's control plane suffered 19 separate SQLite database corruption incidents over six months, causing repeated downtime for affected tailnet shards. Each shard runs a single Go process with exclusive access to its SQLite database, a design that made the recurring corruption especially puzzling. Early incidents each required over an hour of recovery time, during which users on affected shards lost access to the admin console and API. After months of forensic investigation with no reproducible cause, the team traced the fault to a bug that had existed within SQLite itself for at least 16 years. The postmortem has drawn significant attention in the developer community for its methodical debugging approach, which its author argues is applicable to any team running relational databases in production.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Go developer releases open-source distributed rate limiter with zero memory allocation

A software developer has released distlimit, an open-source distributed rate-limiting library for Go, designed to address performance and reliability gaps in existing solutions. The library achieves sub-100 nanosecond evaluation speeds by eliminating heap memory allocations during request processing. To reduce lock contention, it splits in-memory data across 64 independent shards using FNV-1a hashing, enabling up to 64x higher concurrent throughput compared to single-mutex designs. The library includes a hybrid Redis-plus-memory fallback system with a circuit breaker to prevent service crashes or thundering herd spikes during Redis outages. Security features include CIDR-validated proxy trust rules to guard against IP spoofing via manipulated forwarding headers.

0 comments Read more at DEV Community