Agentic SDLC Services
with Agent Studio
Accelerate delivery with governed AI agents that orchestrate development and testing while maintaining human control
for critical decisions.
what is agent studio?
Agent Studio is a governed, agentic software delivery solution that unifies specialized development and testing agents through a shared orchestration and governance model, functioning with clearly defined responsibilities, permissions, and human checkpoints.
Integrated with your existing enterprise environment, these agents work together across the software development lifecycle (SDLC) to refine requirements, generate code and tests, validate quality, identify and resolve issues, and produce traceable evidence for human review.
By integrating with your existing enterprise environment, these agents work together across the SDLC to refine requirements, plan work, generate code and tests, validate quality, identify and resolve issues, and produce traceable evidence for human review.
What you get with an agentic SDLC
Faster validated delivery
Get features to market sooner. Plan, build, and test run in parallel, not in sequence, while key decisions still route to your team.
Greater engineering capacity
Take on more without growing the team. Routine coding and maintenance shifts to agents, so engineers have more scope.
Broader test coverage
Release with fewer escaped defects. Agents plan, author, run and maintain tests, continuously, past what a manual estate can sustain.
More consistent quality
Make release quality predictable. The same engineering, security, and testing standards apply on every release, whatever the deadline.
Lower maintenance effort
Spend less of your engineering budget on upkeep. Agents repair dependency drift, stale APIs, and CI failures inside your guardrails.
Earlier defect detection
Review and testing run throughout development, so defects surface while they are straightforward to resolve.
Stronger delivery governance
Stay audit-ready by default. Every agent action carries identity, policy, and a full trail, so review is a query, not a project.
More strategic team focus
Put senior engineers on the work only they can do. Architecture, risk, and complex investigation get their attention and agents do the rest.
Our agentic SDLC services
Agentic software development
Accelerate development, increase engineering capacity, and improve consistency with orchestrated agents embedded across the development lifecycle.
Agentic testing
& QA
Improve quality across every release with coordinated agents that plan, execute, and maintain tests, expanding test coverage and reducing validation time
Integrated agentic
DevTest
Reduce friction by connecting development and testing through one coordinated, governed agentic workflow, streamlining handoffs across the delivery lifecycle.
What makes Agent Studio different?
Purpose-built agents, not generic AI
Each agent is designed for a specific task in the software delivery process, providing results that meet engineering standards and defined goals.
Modular ecosystems, unified when needed
Start with either development, testing, or engage in a combination of both. Agent Studio gives you the flexibility to leverage agents when needed.
Resolve routine issues automatically
Agents identify and fix common failures independently, escalating complex issues with supporting evidence for human review.
Operates with your existing environment
Integrate with existing repositories, delivery tooling, cloud environments, and engineering workflows without requiring wholesale platform replacement.
Human oversight aligned to
risk & impact
Keep people involved in critical decisions and escalations, while routine work proceeds autonomously within defined boundaries.
Governance embedded throughout
Apply consistent policies, permissions, approval requirements, and audit controls across all agents and workflows.
How Agent Studio changes software delivery
| Traditional delivery | With Agent Studio | |
|---|---|---|
| Context | Teams chase context across tickets, docs, and meetings | Agents assemble shared context from repos and tests first |
| Planning | Approach set from memory, without codebase grounding | Teams approve a plan grounded in real architecture and coverage |
| Creation | Hand-written foundations, feature code, and test assets | Teams refine generated code and tests built to your conventions |
| Quality review | Standards applied manually, then queued for peer review | Assets arrive pre-checked for quality, security, and risk |
| Execution | Runs coordinated by hand; evidence compiled manually | Agents run and evidence every cycle, not just at phase end |
| Maintenance | Drift, stale APIs, and broken builds consume capacity | Routine failures self-repair; the rest escalates with evidence |
| Failure analysis | Engineers dig to separate test issues from real defects | Teams get root-cause analysis with evidence and a fix |
| Team focus | Most hours go to implementation, authoring, and upkeep | Architecture, risk decisions, and complex investigation |
Not sure which ecosystem to start with?
How Agent Studio orchestrates the agentic SDLC
Unify enterprise context
Orchestrate specialized agents
Enforce permissions & policies
Permissions, policy guidelines, and approval steps set limits on what actions an agent can take before it starts working.
Apply human oversight
Deliver traceable outputs
Inside Agent Studio: The agents behind each ecosystem
Developer Ecosystem
Architect
Owns the architecture, enforces design rules, and maintains ADRs
Refiner
Translates business intent into clear technical work items
Converter
Converts refined work items into technical specifications
Planner
Walks the codebase, identifies impact, and designs the approach
Builder
Creates reusable code foundations, components, and utilities
Writer
Composes feature code from the foundations and conventions
Reviewer
PR-style quality gate that evaluates quality, risk, security, and performance
Healer
Auto-fixes drift, dependencies, broken builds, and CI failures
The same identity, policy and observability governs every agent action
Test Ecosystem
Architect
Governs the framework and agents, including ADRs, rules, and guardrails
Importer
Pulls automation-ready scenarios from Azure DevOps
Converter
Walks the live application and builds Gherkin feature files using Given/When/Then)
Planner
Walks the live application to establish ground truth rather than assumptions
Author
Creates the reusable building blocks used to build tests
Writer
Authors tests in Given/When/Then using the blocks
Reviewer
Acts as the quality gate before tests reach CI and enforce standards
Healer
Automatically fixes UI-driven failures and raises other failures as defects
RCA
Analyzes failures that can’t be healed, including root cause, evidence, recommendations
BA Agent generates scenarios from requirements on new projects
How we deliver enterprise control
Controlled access
Clearly state which systems, repositories, and data each agent can access, and remove access whenever needed.
Human approval
Ensure human approval mechanisms for any actions that may carry risks or lead to considerable consequences before taking them.
Full traceability
Record and check every action, choice, and result from an agent, so you have a full record of what happened.
Flexible deployment
Run Agent Studio in your cloud, on-premises, or in a private environment, based on your security requirements.
Model choice
Select the underlying AI models that fit your compliance, performance, and cost requirements.
Cost visibility
See exactly what agentic work costs across projects, so you can plan and budget with confidence.
Find your starting point
Developer Ecosystem
Specialized agents across requirements refinement, solution planning, code generation, review, modernization, and routine maintenance.
Best suited for:
- Accelerating feature development
- Modernizing or refactoring existing applications
- Improving consistency across large codebases
- Reducing repetitive development and maintenance
- Applying engineering and security standards earlier
- Freeing senior engineers for architecture and complex work
Testing Ecosystem
Specialized agents focus on improving requirements, planning solutions, writing code, reviewing it, updating systems, and regular maintenance.
Best suited for:
- Expanding the use of automated tests
- Accelerating testing and approval processes
- Modernizing an existing test estate
- Reducing test creation and maintenance effort
- Making it easier to find and track issues
- Creating easier-to-understand risks focused reports
Integrated DevTest Ecosystem
Establishes a shared process that integrates development and testing teams in the management and delivery of their work.
Best suited for:
- Transforming the full software delivery lifecycle
- Making it easier for engineering and QA to work together
- Validating code continuously
- Working together to find and fix problems
- Using shared decision-making in both development and testing
- Creating a single record of evidence throughout the entire software development process
How engagements work with Agent Studio
We assess where agentic workflows can deliver the greatest value, start with a focused use case, and scale only when the
pilot shows measurable improvement.
Assess
Pilot
Scale
Run & improve
Industries we support
FAQs about the agentic SDLC
What is an agentic SDLC?
An agentic SDLC uses specialized AI agents to plan, execute, test, and review work across the SDLC. Agents coordinate tasks within specified engineering and governance controls, while maintaining human oversight and approval of critical decisions.
How is agentic SDLC different from AI-assisted development?
AI-assisted development speeds up individual tasks. An agentic SDLC brings together specialized agents for development and testing by using common guidance and control. This way, their work connects from start to finish.
What is 10Pearls Agent Studio?
Agent Studio is 10Pearls’ governed multi-agent framework for AI-driven software development and testing. It coordinates specialized agents through one governance model, with defined permissions, policies, and approval requirements.
Do we need to implement both development and testing?
No. Agent Studio is modular. You can implement the Development Ecosystem, the Testing Ecosystem, or both together as an integrated DevTest Ecosystem, based on your current priorities.
Can we begin with testing and add development later?
Yes. Many teams opt for the Testing Ecosystem at the outset to quickly broaden their scope. As soon as they start getting results, they add the Development Ecosystem and link both systems under the same rules.
Why use specialized agents?
Specialized agents are designed for specific, focused purposes, such as creating tests or reviewing code. This results in more reliable and consistent outputs.
Does this replace developers and testers?
No. 10Pearls Agent Studio handles routine, well-defined work so your developers and testers can focus on architecture, strategy, and complex or high-risk decisions that require human judgment.
Can it work with existing development tools?
10Pearls Agent Studio works with the tools, storage, and processes your team is already using while minimizing disruption.
Can it support an existing test estate?
Yes. Agent Studio can work with your current test assets, identifying gaps, repairing drift, and expanding coverage rather than requiring you to rebuild your test estate from scratch.
Can it support a new software project?
Yes. Agent Studio can be implemented from the start of a new project, helping teams establish conventions, generate foundations, and build test coverage as development begins.
How are agent-generated code and tests reviewed?
Code and tests go through set quality checks, including automatic tests for standards, security, and risk, before your team looks at and approves the final result.
How are test failures handled?
Agents identify the likely cause for test failures. Routine, low-risk issues can be auto-fixed within defined limits, while more complex issues are flagged with supporting evidence for your team to review.
Can Agent Studio operate in private environments?
Yes. 10Pearls Agent Studio can be set up in different ways, including on your own servers or controlled environments. This helps you follow your organization’s security and compliance rules.
Move beyond AI assistance to a Governed Agentic SDLC
We begin with an assessment of one delivery workflow, run a pilot inside your environment,
and scale when the results hold. Your tools, your standards, your approval gates.