DeepPattern AI

Quality gates + independent multi-model review for Codex & Claude Code. Build with evidence. Developers keep final judgment. Testers wanted

[DeepPattern AI @DeepPatternAI]

@sarthaksavvy Appreciate it. Could we exchange contact details? I’d like to send you a product overview.

[DeepPattern AI @DeepPatternAI]

@Kilo_Loco Hi Kyle — you mentioned walking through the AI workflow you’re currently using in production. We’re building DeepPattern for the layer many production workflows still lack: explicit evidence and reviewable decisions before changes land. Interested in joining our External Preview?

[DeepPattern AI @DeepPatternAI]

@DavidLJohnston Hi David — UniGrok’s shared, local-first context across Claude Code, Cursor, and VS Code is a compelling substrate. The next challenge is preserving provenance, scope, and validation when one agent spans multiple clients. Open to testing our External Preview?

[DeepPattern AI @DeepPatternAI]

@webmaster Hi Jason — your point that SaaS UX should begin with users’ own agents raises a hard question: when Codex, Claude acts through a product, who owns context, evidence, and final authority? Curious to try our External Preview?

[DeepPattern AI @DeepPatternAI]

@thekuchh Hi Kuch — your Claude swarm allowlist post showed a great concrete failure: a rule that looks like control but doesn’t actually constrain nested agents. AQG focuses on enforceable boundaries, traced delegation, and validation at every handoff. Interested in our External Preview?

[DeepPattern AI @DeepPatternAI]

@businessbarista Hi Alex — your enterprise vibe-coding framing captures the governance trap: blanket enablement creates security debt, while blanket denial kills adoption. Open to taking a look at our External Preview?

[DeepPattern AI @DeepPatternAI]

@JohnGoldman Hi John — seeing Sonnet and Gemini align on under 10% of the same health corpus is a strong example of why multi-model agreement can’t substitute for ground truth. DeepPattern records extraction claims, disagreement, and adjudication . Would this be useful for your pipeline?

[DeepPattern AI @DeepPatternAI]

@0xAndros Hi Andros — your post about spending nearly $30k on the strongest models before changing the routing strategy was a sharp reminder that model intelligence isn’t system reliability. DeepPattern tracks model choice and decision outcomes across runs. Open to our External Preview

[DeepPattern AI @DeepPatternAI]

@mubshrx Git diff is a useful first pass, but do the changed lines and tests support the agent's claim? DeepPattern tests binding findings to the diff, rerunning tests after fixes, and surfacing disagreement across models. What would make that usable outside an IDE?

[DeepPattern AI @DeepPatternAI]

@dreamer_sloth Hi Ash — the Go migration where ~16 fields were silently wrong despite passing tests is exactly the failure class we care about: plausible defaults hiding missing evidence. Would you like to try our External Preview on a real migration workflow?

[DeepPattern AI @DeepPatternAI]

@nnennahacks @megadevhq Hi Nnenna — your Evidence Redline pattern, especially the idea that autonomy should be earned through evidence, maps closely to our work at DeepPattern. Would you be open to stress-testing our External Preview?

[DeepPattern AI @DeepPatternAI]

@nykdotdev Hi Nyk — your merge-gate post captured a distinction most teams blur: passing tests is evidence, not authorization to merge. DeepPattern is building AQG to make that receipt explicit—claims, checks, and reviewer decisions. We’re opening a small External Preview. Interested?

[DeepPattern AI @DeepPatternAI]

@_darrenjeffrey Hi Darren — I saw your post about Claudex putting Claude and Codex into an autonomous review loop.
We’re inviting active Codex builders to test the External Preview. Would you be open to a quick look?

[DeepPattern AI @DeepPatternAI]

@hazlijohar @harcourttt @paper Hi Hazli — I saw your proposal for a smoother Paper → Claude/Codex workflow, as well as your experiments with Paper’s MCP and browser-based agent actions.
We’re inviting a small group of builders using real MCP and coding-agent workflows to test the External Preview. Interested?

[DeepPattern AI @DeepPatternAI]

@DenLoginoff Hi Denis — I saw your experiment where Qwen and DeepSeek confidently invented nonexistent Google Cloud features and CLI arguments.
We’re inviting a group of experienced practitioners to test it on real AI-assisted development tasks. Interested in a preview?

[DeepPattern AI @DeepPatternAI]

@vesindusko Hi Vesin — I saw your post about moving Codex to the primary role after Claude’s timeouts.

We’re inviting a small group of experienced practitioners to test this on real workflows. Given your CTO and multi-model experience, I’d value your feedback. Open to a preview?

[DeepPattern AI @DeepPatternAI]

@ryanguill @codex Hi Ryan — I saw your post about building the iOS app through Codex Computer Use while you directed and tested the work
We’re inviting a small group of practitioners to test DeepPattern on real AI-assisted workflows. Would you be interested in taking a look?

[DeepPattern AI @DeepPatternAI]

@taishik_ Hi Taishi — I saw your post about pstack making more of your workflow repeatable while PR review remains the hardest part.
We’re inviting a small group of practitioners to test this on real AI-assisted development workflows. Would you be open to taking a look?

[DeepPattern AI @DeepPatternAI]

@AtMemX Your "search broadly, compress with evidence, hand off narrowly" rule is a good antidote to context rot. How do you invalidate a plan when the working tree or tests change its premise? We are testing this boundary in DeepPattern with cross-model review, not one conclusion.