AI-assisted development increases throughput. It also increases instability. GAIN for AI SDLC closes that gap with Grid Dynamics’ proprietary delivery triad: Allium to define intent, Rosetta to govern execution, SpecFlow to validate outcomes, all delivered by Forward Deployed Engineers working directly inside your delivery pipeline.
AI accelerates code generation. End-to-end delivery velocity is constrained by legacy QA pipelines and deployment barriers.
The hard truth: DORA frameworks consistently prove that elite software throughput depends on comprehensive systemic stability, meaning rapid code generation without automated specification governance and continuous runtime validation loops merely transfers the delivery bottleneck down the line, accelerating technical debt rather than production deployment.
95%
of developers spend meaningful time reviewing, testing, and correcting AI output, and 38% report that reviewing AI-generated code requires more effort than human-written code. —Sonar’s 2026 State of Code survey
Vague requirements produce confident, well-written code for the wrong outcome.
The failure happens at requirements; the cost appears at delivery.
AI accelerates output while technical debt accumulates faster than delivery value.
Without engineering standards, architectural constraints, and operational guardrails
embedded into the workflow, code quality drifts, and system instability grows.
Single-agent, single-pass AI generation lacks the quality control rigor enterprise code requires.
Without an AI agent harness that orchestrates parallel validation loops in sandboxed environments until delivery criteria are met, defects scale as fast as output.
Assess how AI is shifting constraints in your SDLC
The AI SDLC triad
Built to solve every layer of the problem
Convert ambiguous requirements into formal specifications before code generation begins.
Allium replaces vague requirements with formal, structured specifications that AI agents and business stakeholders can actually work from. It runs two ways:
Forward: from stakeholder conversation to specification, surfacing contradictions before a line of code is written.
Backward: from an existing codebase, extracting what the system actually does versus what it was supposed to do. For organizations modernizing legacy systems, this is the difference between replacing something you understand and replacing something you’re guessing at.
The result: Every project starts with a shared, unambiguous definition of what needs to be built.
What a product document says
"When a user requests a password reset, if their email matches an account that is active or locked, invalidate any existing reset tokens, generate a new token with an expiry, and send a reset email."
What this doesn’t tell you
- What happens if the account is suspended?
- Can a reset token be reused after expiry?
- Does "invalidate" mean delete or mark as expired
- What if two resets are requested simultaneously?
What Allium captures
specification PasswordReset {
preconditions:
account.status IN { active, locked }
NOT account.status = suspended
on_trigger:
tokens.active.forEach { t -> t.status = expired }
new_token = Token {
expires_at: config.reset_token_ttl
status: valid
}
mailer.send(:reset_email, account.email)
silent_fail_on: email_not_found
}
What this makes explicit
- Suspended accounts are excluded with no bypass of admin reinstatement
- Existing tokens are marked expired, not deleted (audit trail preserved)
- The new token has a configurable expiration date
- Silent failure on unknown emails means no account enumeration leak
Enforce organizational standards across every AI coding agent.
Rosetta ensures every AI coding agent working across your organization, regardless of tool or team, follows the same engineering standards, architectural conventions, and compliance requirements. It operates inside your security perimeter. Your IP never leaves your environment.
Rosetta is open source under Apache 2.0: publicly verifiable engineering, with no proprietary lock-in.
The result: Consistent, governed AI execution at organizational scale.
AI agent harness for automated code generation and complexity estimation.
SpecFlow is an AI agent harness that automates code generation, deployment, and testing through parallel AI agents in isolated, sandboxed execution environments.
Validator agents continuously assess, resume, and refine work until delivery standards are met.
The result: Iterative validation loops replace single-pass generation guesswork with production-ready reliability.
Govern AI across every stage of the lifecycle
Integrate intent control, execution standards, and validation loops into your delivery pipeline as native workflow capabilities, not bolt-on tools.
In production. Measured results
Half the team. 3× faster delivery. 65% infrastructure cost reduction.
Legacy replenishment system modernization across thousands of stores.
3 days of AI-first work delivered 9 weeks of value.
Cloud modernization under strict compliance constraints.
Root cause analysis cut from hours to minutes. 60× faster.
AI-powered incident resolution across a high-volume transaction platform.
30%+ productivity boost across the engineering organization.
AI-assisted development on a legacy codebase with no documentation and no owners.
Operationalize with Forward Deployed Engineers embedded in your team
Most AI implementations fail because tools get handed off without the engineering context to make them work in production. Grid Dynamics Forward Deployed Engineers (FDEs) embed directly in your team, and bring Allium, Rosetta, and SpecFlow as their operating system, not tools they hand off.
The difference:
- Engagements are structured around outcomes, not hours.
- FDEs share delivery risk.
- The platform generates objective signals (complexity models, parallel implementations, measurable coverage) that replace estimation with evidence.
- Engineering judgment doesn't reset between engagements. Specifications, standards, and validation logic become organizational IP that compounds over time, making each successive project faster and more reliable.
Ready for throughput you can trust?
Our Forward Deployed Engineers will assess your current delivery model and map a path to measurable outcomes.