# devstral

Published articles for devstral.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## AI gateways: why and how

DevFeed: [AI gateways: why and how](<https://devfeed.tech/articles/ai-gateways-why-and-how-18916.md>)

Original publisher: [Read original article](<https://blog.frankel.ch/ai-gateways/>)

Author: Nicolas Fränkel

Published: 2026-05-31T00:00:00Z

Content type: article

Language: en

Sources: [Nicolas Fränkel](<https://devfeed.tech/sources/nicolas-frankel.md>)

Topics: [Amazon API Gateway](<https://devfeed.tech/topics/amazon-api-gateway.md>), [LLMs](<https://devfeed.tech/topics/llms.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Routing (disambiguation)](<https://devfeed.tech/topics/routing.md>), [Claude](<https://devfeed.tech/topics/claude.md>), [Security](<https://devfeed.tech/topics/security.md>), [litellm](<https://devfeed.tech/topics/litellm.md>), [Caching](<https://devfeed.tech/topics/caching.md>), [Scalability](<https://devfeed.tech/topics/scalability.md>), [Load Balancing](<https://devfeed.tech/topics/load-balancing.md>), [observability](<https://devfeed.tech/topics/observability.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-gateway](<https://devfeed.tech/tags/ai-gateway.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [api-gateway](<https://devfeed.tech/tags/api-gateway.md>), [backend](<https://devfeed.tech/tags/backend.md>), [caching](<https://devfeed.tech/tags/caching.md>), [claude](<https://devfeed.tech/tags/claude.md>), [claude-code](<https://devfeed.tech/tags/claude-code.md>), [coding-assistant](<https://devfeed.tech/tags/coding-assistant.md>), [decoupling](<https://devfeed.tech/tags/decoupling.md>), [devstral](<https://devfeed.tech/tags/devstral.md>), [gateway](<https://devfeed.tech/tags/gateway.md>), [litellm](<https://devfeed.tech/tags/litellm.md>), [llm](<https://devfeed.tech/tags/llm.md>), [llms](<https://devfeed.tech/tags/llms.md>), [load-balancing](<https://devfeed.tech/tags/load-balancing.md>), [mistral](<https://devfeed.tech/tags/mistral.md>), [observability](<https://devfeed.tech/tags/observability.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [routing](<https://devfeed.tech/tags/routing.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [security](<https://devfeed.tech/tags/security.md>), [technical](<https://devfeed.tech/tags/technical.md>)

### AI overview

This article explains how AI gateways apply the API gateway pattern to AI clients and LLM backends. It discusses using a gateway to centralize model and provider management, governance, cost control, routing, caching, failover, load balancing, and observability, and considers routing Claude Code requests to another provider.

### Source excerpt

Before working for 2 years on the Apache APISIX API gateway, I was mainly oblivious to API gateways. It's only by working with them that I understood their value. Decoupling the client and the server unlocks a lot of options: moving authentication to the API Gateway, securing APIs, deduplicating API requests, etc. In this post, I want to describe how the same pattern applies to AI. AI gateways AI gateways work in a similar way.

## Dodo Payments' 2025 Highlights and December Updates on Developer Tools and AI Automation

DevFeed: [Dodo Payments' 2025 Highlights and December Updates on Developer Tools and AI Automation](<https://devfeed.tech/articles/the-dodo-digest-the-developer-stack-got-smarter-this-year-10131.md>)

Original publisher: [Read original article](<https://dodopayments.com/blogs/newsletter-dec31/>)

Author: Rishabh Goel

Published: 2025-12-31T00:00:00Z

Content type: article

Language: en

Sources: [Dodo Payments Blog](<https://devfeed.tech/sources/dodo-payments-blog.md>)

Topics: [Automation](<https://devfeed.tech/topics/automation.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [context window](<https://devfeed.tech/topics/context-window.md>), [releases](<https://devfeed.tech/topics/releases.md>), [Developer experience](<https://devfeed.tech/topics/developer-experience.md>), [cohere](<https://devfeed.tech/topics/cohere.md>), [Claude](<https://devfeed.tech/topics/claude.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [agent](<https://devfeed.tech/tags/agent.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [automation](<https://devfeed.tech/tags/automation.md>), [cli](<https://devfeed.tech/tags/cli.md>), [coding](<https://devfeed.tech/tags/coding.md>), [context-window](<https://devfeed.tech/tags/context-window.md>), [developer](<https://devfeed.tech/tags/developer.md>), [devstral](<https://devfeed.tech/tags/devstral.md>), [newsletter](<https://devfeed.tech/tags/newsletter.md>), [releases](<https://devfeed.tech/tags/releases.md>), [updates](<https://devfeed.tech/tags/updates.md>)

### AI overview

Dodo Payments reviews its 2025 releases and platform updates, including global payment and billing capabilities, developer integrations, and the Sentra AI agent. It also discusses Devstral 2 and Cohere Rerank 4 as examples of developments in coding automation and enterprise search.

### Source excerpt

Dodo Digest Dec 31: 2025 highlights, Sentra billing automation, Devstral and Rerank insights, and v1.70.0 updates including inline checkout beta.

## Evaluating LLMs for my personal use case

DevFeed: [Evaluating LLMs for my personal use case](<https://devfeed.tech/articles/evaluating-llms-for-my-personal-use-case-35441.md>)

Original publisher: [Read original article](<https://darkcoding.net/software/personal-ai-evals-aug-2025/>)

Author: Graham King

Published: 2025-08-23T17:00:00Z

Content type: opinion

Language: en

Sources: [Graham King](<https://devfeed.tech/sources/graham-king.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Programming](<https://devfeed.tech/topics/programming.md>), [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Rust](<https://devfeed.tech/topics/rust.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [Linux](<https://devfeed.tech/topics/linux.md>), [Python](<https://devfeed.tech/topics/python.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [coding](<https://devfeed.tech/tags/coding.md>), [devstral](<https://devfeed.tech/tags/devstral.md>), [evals](<https://devfeed.tech/tags/evals.md>), [latency](<https://devfeed.tech/tags/latency.md>), [linux](<https://devfeed.tech/tags/linux.md>), [llms](<https://devfeed.tech/tags/llms.md>), [programming](<https://devfeed.tech/tags/programming.md>), [python](<https://devfeed.tech/tags/python.md>), [qwen](<https://devfeed.tech/tags/qwen.md>), [qwen3](<https://devfeed.tech/tags/qwen3.md>), [software](<https://devfeed.tech/tags/software.md>)

### AI overview

The author evaluates a set of language models against 130 real prompts drawn from personal bash history, covering programming, system administration, technical explanations, general knowledge, and creative tasks. The evaluation uses blinded Rust scripts and records cost, latency, and throughput, with models selected based on prior experience, leaderboards, and price.

### Source excerpt

My life is not a math Olympiad