Blog
Field insights and analysis on the governed software factory: delivering dependable changes to your production applications with proof and controlled unit costs.
Strategy
• 5 min read
The dependency is updated. But is the patch ready to ship?
A version bump is often enough to clear a security alert. It is not enough to prove the application still behaves as expected. Separating an updated dependency, a verified patch and a change ready to ship helps teams move from a green scan to an informed review decision.
• 5 min read
A RAG that remembers everything is a risk: choosing what your AI should know
Your assistant finds a rule in seconds. But is it still the right one? To keep an outdated document from guiding a new decision, start with a limited corpus, verifiable sources and identified owners.
• 8 min read
The Model Remains a Black Box. Your Delivery Chain Should Not
The people who build large language models openly admit they cannot explain why a model lands on one answer rather than another. You cannot open the box. You can, however, control everything that feeds it and everything that checks it: here are the seven layers that make it possible.
• 11 min read
Are Argy workflows like n8n? Same word, different job
An automation platform runs the path you drew in advance. Argy builds that path from the request, has a second model challenge it, and leaves the final call to you.
• 9 min read
The Craft That Comes Next: What Engineers Become When the Factory Takes Over
If the factory builds, fixes and remediates, what is left for engineers? The part that matters most: judging what is allowed to reach production. Here is the career track that turns it into a profession, and the certification that belongs to the person rather than the tool.
• 6 min read
What Our Clients Actually Do With Argy — and Why We Are Changing Categories
Following an editorial pause dedicated to observing production deployments, one reality stands out: our true value does not stem from another internal developer portal, but from shouldering recurring maintenance workloads on existing applications.
• 5 min read
Shadow AI: The Invisible Risk for CIOs (and How to Control It)
Unvetted assistants, IDE extensions, personal accounts… Ungoverned usage is quietly spreading across engineering teams. Learn the real risks for CIOs and how Argy restores control without slowing innovation.
• 2 min read
LLM Gateway: secure AI and your data (without blocking teams)
An LLM Gateway is not just another proxy: it’s where you enforce governance, security, and observability on language-model usage, right inside your workflows.
• 2 min read
Why a Vibe Coding Agent Must Be Governed
Vibe coding tools increase delivery speed, but they also magnify risk: data leakage, hallucinations, and policy bypass. Here’s why governance is mandatory, and how Argy Code fits into that framework.
• 1 min read
FinOps: put cost guardrails into the flow (without friction)
Cloud cost explodes mostly when guardrails don’t exist in the workflow. A platform can make good choices the default.
• 1 min read
Preview environments & release trains: ship faster without breaking
Preview envs accelerate feedback loops, release trains stabilize shipping. Together they industrialize delivery, provided the workflow is standardized.
• 1 min read
Scorecards: drive quality without turning the platform into the police
Scorecards create visibility: standards, gaps, progress. The key is linking gaps to concrete actions inside golden paths.
• 1 min read
Policy checks: practical quality gates in golden paths
Governance works when it’s testable, automated, and shipped with the workflow. Put approvals and policy validation inside the path.
• 1 min read
Governed catalog & self-service: RBAC, approvals, and guardrails
Self-service without guardrails becomes shadow IT. Governed self-service accelerates delivery while keeping control and compliance.
• 1 min read
IDP vs Dev Portal: how to choose (and succeed) with an internal platform
The trap is not the tool. The trap is confusing portal, catalog, and orchestration capability. Here’s how to choose based on outcomes.
• 2 min read
Governance by Design: From Policy to Product
Governance fails when it is an external review step. It works when guardrails are embedded into golden paths and shipped as a platform capability.
• 2 min read
Argy AI: multi-provider LLM governance for enterprise workflows
One LLM Gateway across providers: routing, quotas, security filters, and auditability for every model call, from chat to modules.
• 2 min read
The Role of Platform Engineering in Governing Delivery Workflows
How to structure delivery and operational workflows without piling up disconnected tools: practical framing and field lessons.
DevSecOps
• 6 min read
The Augmented Developer: Steering Software Delivery Instead of Enduring It
Your engineers do not lack talent, they lack time. The augmented developer hands repetitive work to a tooled delivery chain that follows your rules and documents every release. Here is what that concretely changes for an IT leadership team.
• 1 min read
Supply chain security: SBOM, signatures, and attestations in your golden paths
SBOM, signatures, provenance (SLSA)… everyone talks about them. The real question: how do you make them systematic and adopted through your platform?
• 1 min read
Multi-cloud: standardize without fragmenting delivery
Multi-cloud rarely fails because of technology; it more often fails because conventions fragment. Golden paths provide a shared interface without denying real differences.
• 1 min read
From Terraform templates to reusable modules: the right abstraction level
Templates accelerate a project. Modules accelerate an organization. The difference: schema, versioning, guardrails, and supportability.
• 1 min read
Secrets: reduce sprawl with detection and secret managers
Secrets leak through code, logs, and prompts. Standardize storage and detect secrets in model prompts and workflows to prevent bypasses.
• 1 min read
Developer onboarding: reduce cognitive load with golden paths
Great onboarding means fewer docs to read and more safe paths to follow. Golden paths make developer experience immediate.
• 2 min read
Golden Paths: Standardize Without Friction
Golden paths are not rails. They are readable, versioned, and configurable paths that reduce cognitive load while keeping freedom where it matters.
• 2 min read
From Template to Module: Packaging Golden Paths
Copies are a starting point. Modules are product capabilities: schema + workflow graph + governance + versioning. That’s how you scale adoption without snowflakes.
Architecture
• 1 min read
Versioned modules: SemVer strategy, compatibility, and adoption
Versioning is not cosmetic: it’s what makes a platform safe to adopt. A clear SemVer strategy reduces fear of breaking changes.
• 1 min read
Modular architecture: custom extensions without breaking standards
A platform can’t predict everything. The key is governed extension points: hooks, add-ons, and versioned custom modules.
Operations
• 1 min read
Incident response: standardize incident routines (and reduce chaos)
PDF checklists don’t save production. Executable routines, triggered at the right time, reduce MTTR and cognitive load.
• 1 min read
SRE & Platform Team: SLOs and clear responsibilities
No SLOs, no steering. A platform can make reliability principles executable and adopted through golden paths.
• 1 min read
Kubernetes (Day 2): standardized routines to operate at scale
Day 1 (deploy) is easy. Day 2 (operations) is expensive. Standardizing Kubernetes routines via the platform reduces incidents and toil.
• 2 min read
Run as a Product: observability and incident visibility
Most platform initiatives stop at delivery. The hard part is operating at scale: SLOs, incidents, drift, and clear signals, packaged as reusable capabilities.
Enterprise AI
• 10 min read
Token capital: building enterprise AI independence with Argy
Why token capital is becoming the defining strategic asset for enterprises, and how Argy lets you build it in hours, not 18 months.
• 2 min read
AI and Platform Engineering: From Assistants to Industrialized Flows
An assistant is not a magic button. In a platform, it becomes useful when it reduces diagnosis, decision, and execution time, at the right place in the workflow.
More insights
• 1 min read
Audit logs: make traceability usable (not just stored)
Traceability only matters when it is structured, queryable, and linked to actions. The platform is the natural place to do this.
• 1 min read
Pipelines-as-code: turn CI/CD standards into reusable capabilities
Copy-pasted pipelines are debt. Versioned, modular pipelines are a lever for quality and speed.
• 1 min read
Measuring Platform Engineering value: KPIs that actually steer
No metrics, no steering. But the wrong KPIs create friction. Here’s an outcome-driven approach: velocity, reliability, adoption.
• 2 min read
Platform as a Product: Adoption & Impact
An internal platform is not a project. It's a product. Without adoption, there is no impact; and without impact, there is no platform.