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07:02
2026-06-26
dev.to
large-language-models

Self-Hosted Ollama Homelab: 3 Mistakes Running Local LLMs

A developer's team encountered three critical mistakes while setting up a self-hosted Ollama homelab for DevOps assistance: silent CPU fallback due to CUDA version mismatch, an OOM crash that took dow…

06:41
2026-06-26
dev.to
large-language-models

Stop using the model as your memory

A developer using Claude Code found that the model's context window is a lossy working memory, not a reliable record. By moving state out of the model and into the work—using a frozen spec and a verif…

06:39
2026-06-26
dev.to
artificial-intelligence

AI is not replacing developers anytime soon

A professional developer reports that AI tools like GitHub Copilot have increased their output by 30-40 percent, but argues that AI will not replace human developers anytime soon. The developer explai…

06:13
2026-06-26
dev.to
developer-tools

Everyone's migrating to Playwright. But why, actually?

A developer explains why teams are migrating from Selenium to Playwright, citing Playwright's superior auto-waiting, cross-browser support, parallel execution, and network mocking capabilities. The de…

06:05
2026-06-26
dev.to
artificial-intelligence

AI made generation cheap. It did not make judgment cheap.

A developer found that while AI accelerates generation, it does not reduce the cognitive load of judgment. They now delegate tasks only when a machine-checkable gate exists to verify output, as the hi…

06:02
2026-06-26
dev.to
developer-tools

Spec-driven development change AI-generated code maintenance

Codeplain, a startup founded in Ljubljana, Slovenia, introduced spec-driven development using its open-source Plain specification language to address maintenance challenges in AI-generated code. CEO D…

06:00
2026-06-26
dev.to
artificial-intelligence

Agentic AI: The Future of Autonomous Decision-Making in 2025

Agentic AI, where systems operate with increasing autonomy, is poised for mainstream adoption by 2025-2026. These intelligent agents make decisions, take actions, and adapt strategies in real-time, re…

05:59
2026-06-26
dev.to
large-language-models

Claude Code Costs, Act II — Where the big hidden costs are

An engineer at Anthropic analyzed the hidden costs of switching models in Claude Code sessions, finding that model switches invalidate prompt caches, leading to duplicated cache writes that can increa…

05:58
2026-06-26
dev.to
large-language-models

Claude Code Costs, Act I — How the billing actually works

An engineer reverse-engineered Claude Code's billing model by pointing the client at a local proxy that logs each API request. The analysis reveals that the client can under-report cache-write costs b…

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