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[EveryDev.ai @EveryDevAi]

the hardest part of working on an unfamiliar codebase isn’t finding the files. it’s figuring out what connects to what before you change something and accidentally break three other things.

i’ve been looking at tools that make software architecture easier to see and understand.

CodeBoarding analyzes your repository and builds interactive architecture maps. you can explore components, follow their dependencies, and see which parts of the system a pull request changes. useful when reviewing code written by agents or getting familiar with a large project. https://t.co/xpGNpuziJg⁠

Blueprint focuses on what happens when code actually runs. it’s an agent skill that reads your code and generates interactive sequence diagrams showing how services communicate. you can trace something like a login or checkout flow without manually drawing every request and response. https://t.co/QBzeGPO11k⁠

RelateDB makes database schemas easier to reason about. import existing SQL, rearrange tables and relationships visually, then export SQL, migrations, or ORM models. it works locally in your browser, so you don’t need to upload your schema just to understand it. https://t.co/2cRInyFTLP⁠

ARCH App handles the infrastructure side. drag cloud services, servers, and network components onto a canvas, connect them, and export the diagram. everything stays on your device, and it works offline. useful for documenting deployments without signing up for another service. https://t.co/Tj0vVNehnU⁠

Chinilla goes beyond static diagrams. you can draw a system, give components capacities and behaviors, then simulate requests moving through it. watch queues fill, retries happen, and bottlenecks appear. it’s for testing design assumptions, not load-testing real production servers. https://t.co/THdZHu0BFJ⁠

Solarch takes the opposite approach from tools that document existing code. you draw the backend architecture first, defining controllers, services, repositories, and database tables. it checks that connections follow its rules, then generates code from the validated design. https://t.co/skg8w0sr2P⁠

some of these help explain systems you’ve inherited. others help design systems you haven’t built yet. either way, understanding the architecture shouldn’t require reading every file in the repository.

[EveryDev.ai @EveryDevAi]

https://t.co/jS6sZj3tiB

[EveryDev.ai @EveryDevAi]

Want to try a 2.78-trillion-parameter model but don't have a GPU cluster? kimi-k3-in-c is a portable C99 inference engine that runs Kimi K3 on a single CPU in about 8 GB of RAM by streaming weights from disk. It uses direct MXFP4 matrix multiply, has memory presets from ultra to max, and is Apache-2.0 open source. Peak RSS on the laptop preset is 8.24 GB.

[EveryDev.ai @EveryDevAi]

https://t.co/k03AC9Y8Kf

[EveryDev.ai @EveryDevAi]

Juggling separate API keys, bills and outages across every model provider? @RouteMux is a hosted AI gateway for text, image, video and audio models. One API key, health-aware routing with upstream failover, and a console for request logs and spend. It's paid, with a signup trial and prepaid wallet. Works with Claude Code and Cursor, and speaks OpenAI, Anthropic and Google Vertex AI protocols.

[EveryDev.ai @EveryDevAi]

https://t.co/fSVT3c69bp

[EveryDev.ai @EveryDevAi]

Want to serve DeepSeek-V4.1 Flash on two NVIDIA DGX Sparks? This recipe from @jayleaton runs it on the TensorFold engine behind an OpenAI-compatible API, with 1M context, tool calling and image input. It's open source and still a work in progress.

[EveryDev.ai @EveryDevAi]

https://t.co/xegU8fA5L7

[EveryDev.ai @EveryDevAi]

Want to learn agentic AI but can't find a path from LLM basics to multi-agent systems in Chinese? awesome-agentic-ai-zh is a learning roadmap with 10 stations, a CLI agent track and an agent builder track, plus role guides, hands-on exercises, a glossary and a capstone project. It's MIT licensed, with offline runnable examples in Traditional Chinese, Simplified Chinese and English.

[EveryDev.ai @EveryDevAi]

https://t.co/6KTFjdZxAh

[EveryDev.ai @EveryDevAi]

Codex rewrote half your repo and now you can't tell which step broke it? AgentTM records managed Codex sessions locally, with a timeline of events and commands plus workspace checkpoints, and lets you diff against parent checkpoints. It's free, with a local browser dashboard and a Windows desktop app. Restore any checkpoint into an isolated Git worktree, stored in SHA-256 deduplicated storage.

[EveryDev.ai @EveryDevAi]

https://t.co/0Bcw3hAWQ9

[EveryDev.ai @EveryDevAi]

Handing AI agents raw API keys means one bad tool call can hit Stripe or Salesforce with no review. Alter from @alter_ai_labs vaults credentials and injects them proxy-side, enforces default-deny policy down to the parameter, sends risky calls to human approval, and logs everything. Freemium, cloud or on-prem, with Python and TypeScript SDKs, plus a catalog of 140+ providers.

[EveryDev.ai @EveryDevAi]

https://t.co/ACjFVHFwJa

[EveryDev.ai @EveryDevAi]

Your coding agent can leak an API key or follow a poisoned MCP tool, and you may not notice until it's too late. Pipelock from @pipelockhq is an open-source agent firewall that scans HTTP, MCP, A2A and WebSocket traffic for secret leaks, prompt injection and tool poisoning. It works with Claude Code, Cursor and LangGraph, and emits signed action receipts you can verify offline.

[EveryDev.ai @EveryDevAi]

https://t.co/CQ9Z2YE2uz

[EveryDev.ai @EveryDevAi]

Legal requests pile up in Slack, email and tickets, and in-house counsel end up triaging them by hand. @sandstonehq is an AI-native legal relationship management platform. Agents route intake, draft and redline contracts, and build playbooks from your existing templates and policies. It's paid, with pricing via sales, and connects to Slack, Teams, Salesforce, Ironclad, ServiceNow and Jira.

[EveryDev.ai @EveryDevAi]

https://t.co/TLIUWP8I0e

[EveryDev.ai @EveryDevAi]

Your docs look fine until a coding agent tries to follow them and gets stuck. Dari Docs from @daridotdev is a free, self-deployed CLI that has agents attempt real developer tasks from your docs in fresh sandboxes, then proposes targeted edits and a changelog. You pick the harness, model and sandbox, and it works with Claude Code, Codex, OpenCode, Modal and GitHub Actions.

[EveryDev.ai @EveryDevAi]

https://t.co/SbXpdRtW05

[EveryDev.ai @EveryDevAi]

Everyone on your team runs their own coding agent, but nobody sees what the others are doing. Commonly from @sam_commonly puts people and agents in shared pods with chat, a task board agents can claim from, and decision cards for questions that need a human. Bring Claude Code, Codex, OpenCode or Qwen Code. Self-host under Apache-2.0 with Docker Compose or Helm.