iiinova — where your digital self keeps evolving

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Workspai.com @workspai.com · 18/09/2026

What are you building today? Backend? Frontend? Desktop app? AI agent? Extension? wspai create Pick one. We'll take it from there.

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Workspai.com @workspai.com · 06/09/2026

Building an agent is easy. Trusting it with your codebase is another story. Workspai CLI v0.75.0 adds support for Microsoft Agent Framework, so agents can understand your system, respect its boundaries, and verify their changes before you trust the result.

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Workspai.com @workspai.com · 04/09/2026

How much context does an AI model need to understand #Kubernetes, even for one small change? We mapped it: 24,972 Graph nodes. How do you turn all of that into something an agent can actually use? Watch the demo. @kubernetes.io

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Workspai.com @workspai.com · 05/09/2026

AI can write the code. But how do you keep the whole workflow on track?

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Workspai.com @workspai.com · 30/08/2026

Your coding agent can read 19,000 files. That doesn't mean it knows which ones matter. Give Codex, Cursor, Claude, Grok, or Copilot access to the repo, and they can inspect the code. System understanding tells them where to reason and what not to touch.

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Workspai.com @workspai.com · 31/08/2026

You ask your agent to build a feature. It doesn't ask what you mean. It just starts coding. Then you realize: deciding exactly what you want is becoming harder than getting the code written.

Split-screen illustration showing coding as the old bottleneck and defining clear requirements as the new bottleneck before agents rapidly generate and test code.

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Workspai.com @workspai.com · 29/08/2026

AI coding agents aren't code-blind. They're context-blind without system understanding. You give Cursor, Claude, Codex, Copilot, Windsurf, or any coding agent a prompt. Without the right project context, it can reason over the wrong parts of the codebase.

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Workspai.com @workspai.com · 23/08/2026

You think you're changing one file. Your graph thinks otherwise.

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Workspai.com @workspai.com · 17/08/2026

Feeling lost in AI? Agents. Loops. Graphs. RAG. Context. Harnesses. A new model every week. Stop chasing the AI stack. Start with your codebase. npx workspai adopt .

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Workspai.com @workspai.com · 17/08/2026

Want to score a goal with AI? ⚽️ Stop giving your coding agent the whole repo. Just give it the goal. npx workspai goal "Raise test coverage to 85%" --for-agent generic Now go get a coffee. ☕️

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Workspai.com @workspai.com · 12/08/2026

One shared workspace. One source of truth. Humans and AI finally working from the same picture.

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Workspai.com @workspai.com · 13/08/2026

Agents don’t need more freedom. They need better boundaries. Ground. Constrain. Act. Verify.

Minimal illustration showing an AI agent workflow: ground the agent in the right context, constrain its permissions and boundaries, let it act, then verify the result before it becomes system state.

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Workspai.com @workspai.com · 07/08/2026

AI doesn't have a tooling problem. It has a shared truth problem. Sonar verifies code. LangSmith verifies LLMs. Mem0 remembers. MCP connects tools. Workspai verifies the workspace. One workspace. One truth.

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Workspai.com @workspai.com · 31/07/2026

We just opened a contributor-friendly Workspai issue: Build a deterministic relevance fixture for natural-language Workspace Graph search. A practical task for anyone interested in graphs, local retrieval, developer tools, or AI context infrastructure. github.com/chistiq/work...

github.com

[Feature]: Add deterministic natural-language graph search relevance fixtures · Issue #14 · chistiq/workspai

Problem statement Workspai lets developers and AI agents search a Workspace Knowledge Graph without loading the complete graph artifact. The search is deterministic, local, and bounded, but we do n...

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Workspai.com @workspai.com · 30/07/2026

AI doesn't have a coding problem. It has a context problem. Until an AI understands your entire workspace, every answer is just an educated guess.

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Chistiq @chistiq.com · 29/07/2026

We build open foundations for creating, understanding, and operating software systems—so people, tools, and agents can work from shared, verifiable context.

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