WalnutAI

Turning prompts into products - Instantly

[quantic india @QuanticIndia]

AI is changing software testing. So are the conversations around it.

Introducing the 2nd Edition Digital QA & Software Testing Show 2026, presented by @AiWalnut4821

📅 20 Aug | 📍 Mumbai

🔗 Learn more and register here: https://t.co/z13DiC1k0U

#QuanticAwards #QuanticQAShow

[WalnutAI @AiWalnut4821]

The sign-off meeting used to be: 30 people in a room arguing about whether coverage data was up to date.

Now it's: everyone opens the PDF. 15 minutes. Decisions made.

Data-driven releases aren't new. Tools that make them effortless are.

[WalnutAI @AiWalnut4821]

The full guided execution workflow in 20 seconds:

→ Step-by-step test execution with context

→ Inline screenshot capture on every failure

→ Data-driven iteration across test datasets

→ Auto-generated PDF release report at the end

[WalnutAI @AiWalnut4821]

Release report includes:Requirements coverage
Pass/fail by feature
Open defects with severity
Release readiness score
Sprint-over-sprint comparison
Generated in 30 seconds. Manual takes 2 hours.

[WalnutAI @AiWalnut4821]

Not all defects are agent-assignable. Complex architectural bugs, UX judgment calls, security-critical changes — those stay human.

But 'session state wasn't re-validated on app resume'? That's a computer's bug. Let a computer fix it.

[WalnutAI @AiWalnut4821]

Logged 14 defects this sprint. Still waiting for fixes 2 weeks later.

Next time: log it in the workboard and assign it to the agent.

Defect → agent reads the bug + screenshots + project context → writes fix → opens PR.

The PR is faster than your next coffee. ☕

[WalnutAI @AiWalnut4821]

Why Walnut AI's agent writes better defect fixes than a developer starting cold:

• Knows your defect history and past root causes
• Understands your architecture and module dependencies
• Stays focused—no context switching, Slack pings, or distractions

[WalnutAI @AiWalnut4821]

@Aravind94914435 Check DM!

[WalnutAI @AiWalnut4821]

Why do we always end up shipping on Fridays? Every. Single. Sprint

Because the code review + test cycle eats Wed–Thu.

Teams using Walnut's Cloud Agent ship on Fridays because the agent did the work on Wed–Thu.

The Friday is still a Friday. The panic isn't.

[WalnutAI @AiWalnut4821]

@Getbaron2 Check DM !

[WalnutAI @AiWalnut4821]

The Gap Audit is live.
Run it free on your repo + Jira.
Here's how to read what it finds and what to do with each result.

[WalnutAI @AiWalnut4821]

The part people miss about AI agents in the SDLC:

It's not that the agent is faster than a human.

It's that the agent doesn't stop at 6 PM.

Assign on Wednesday. Review on Thursday. Ship on Friday. Every sprint.

[WalnutAI @AiWalnut4821]

Here's what the agent handles Wed–Thu:

Reads assigned stories
Pulls project context
Writes the code
Generates test cases
Opens PRs linked to Jira

Your team reviews Thursday. Ships Friday. No scramble.

[WalnutAI @AiWalnut4821]

The reason WalnutAI's Cloud Agent doesn't just produce generic tests:

It reads your project's defect history (not just the story)

It knows your testing patterns (from your existing test suite)

It knows what 'done' looks like for your team specifically

[WalnutAI @AiWalnut4821]

Boilerplate Friday? We built a Cloud Agent for that.
Assign a ticket → Agent clones repo, reads context, writes tests, opens PR.
You review.
https://t.co/UuAKUDQPmU

[WalnutAI @AiWalnut4821]

Here's what "Boilerplate Friday" becomes with a Cloud Agent:

Before: 12 old tickets, copy-pasted test boilerplate, 4 hours of work.

After: Assign to agent → reads ACs → generates tests → opens PRs. Review in 30 min.

The 4 hours move to code that matters.

[WalnutAI @AiWalnut4821]

We generated 90 test cases for an entire sprint in 4 minutes.

No Jira copy-paste. No test-case templates. No manual edge-case brainstorming.

Just: point Walnut at your user stories → press generate → review the batch.

Try it on your next sprint → https://t.co/Lt0vXfL4WZ

[WalnutAI @AiWalnut4821]

Multi-Model AI + RBAC is live today.
If your enterprise SDLC AI question is data residency, cost, or lock-in, WalnutAI has a direct answer to each one.
→ https://t.co/Lt0vXfL4WZ

#WalnutAI #EnterpriseAI #MultiModelAI #DataResidency #SoftwareEngineering #RBAC

[WalnutAI @AiWalnut4821]

Enterprise teams have 3 objections to AI in their SDLC. Data residency. Cost. Vendor lock-in. WalnutAI's Multi-Model AI addresses all three. Thread:

[WalnutAI @AiWalnut4821]

RBAC (Role-Based Access Control) is live alongside multi-model:
→ Engineers see their projects
→ QA leads see coverage and test data
→ CTOs see portfolio-level quality metrics
→ Each role scoped to what they need, nothing more