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02:13
2026-06-04
dev.to
large-language-models

Weekly Dev Log 2026-W08

A developer has compiled a taxonomy of ten distinct attack vectors targeting large language models, categorizing them into data-based, model-based, system-based, and user-based threats. The list inclu…

02:05
2026-06-04
dev.to
large-language-models

Why your LLM tool calls silently break — and a ~10µs fix

A developer has released Suture, a reverse proxy that repairs truncated JSON from LLM streaming responses in approximately 10 microseconds. The tool addresses a common production failure where tool ca…

01:15
2026-06-04
dev.to
large-language-models

I fine-tuned an LLM for a client, then told them not to use it

A developer fine-tuned GPT-4.1 for a UAE landscaping company, then recommended against deploying it after evaluation. The fine-tuned model produced better brand voice but also invented a false warrant…

00:49
2026-06-04
dev.to
ai-tools

Vibecoding v Cesku: jak vypada scena v roce 2026

Inithouse, a studio building a portfolio of parallel products, reports that vibecoding has moved from a buzzword to a practical reality in the Czech Republic, with tools like Lovable, Cursor, Bolt, an…

00:41
2026-06-04
dev.to
ai-agents

So I Made an Easy Cloud Coding Agent as an API

A developer built a persistent session system for the Critique Coding Agent API, eliminating the cold starts and context re-pasting that plagued earlier chained runs. The update keeps the E2B sandbox …

00:31
2026-06-04
dev.to
ai-tools

One Schema to Rule Them All: The Config v2 Rewrite

The akm project has consolidated its config layer into a single Zod schema in the 0.8.0 release, replacing approximately 1,400 lines of legacy parser code. The rewrite eliminates silent failures from …

00:31
2026-06-04
dev.to
ai-agents

The Proposal Queue Safety Net

The akm project introduced a proposal queue in versions 0.7.0 and 0.8.0 that separates agent-generated content generation from promotion to the live knowledge stash. Every change from `akm improve` or…

00:31
2026-06-04
dev.to
ai-agents

Your Agent Has a Memory That Runs While You Sleep

A developer built a continuous AI agent memory system called `akm improve` that runs autonomously on local hardware, processing 14,189 memories across 48 scheduled runs in 24 hours with zero failures.…

00:31
2026-06-04
dev.to
ai-agents

From 30 Minutes to 8: How LLM-Mode Reflect Works

A developer reduced the reflect phase of the `akm improve` pipeline from 35 minutes to 8 minutes by eliminating unnecessary overhead. The new LLM mode makes direct HTTP calls to the LLM endpoint inste…

00:31
2026-06-04
dev.to
ai-agents

Belief-Aware Memory: Teaching Your Agent When Not to Write

A developer has released akm 0.8.0, which introduces belief-aware memory fields that prevent autonomous agent improvement loops from overwriting accurate information. The update adds `captureMode` and…

00:30
2026-06-04
dev.to
ai-agents

Task Assets: Agent Workflows That Run While You Sleep

Akm 0.8.0 introduces task assets, YAML files that define scheduled agent workflows capable of running autonomously without an open terminal session. The feature enables continuous operation by allowin…

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