CodeForge is the suite that drives and orchestrates your battery of AI agents through one guided workflow — from idea to delivery, across design, refine, implement, test, package and deploy. Every implementation request becomes verifiable work on Jira, with I/O criteria and a quality gate on each step.
AgentsBuild — where AI agents forge clean code
Analyzed 3 use cases in the Billing domain. Proposed 2 integration options with explicit trade-offs on cost and reversibility.
Misaligned AI sessions and tickets, improvised prompts, no definition of input/output per phase. Quality control and baseline are missing. Generated code has no decision lineage: you don't know what a given agent produced, under which criteria, or what state it reached.
Every session starts from scratch. No standard for agent role or phase.
It's unclear what an agent should read, what it should write, when it's done.
Decisions and findings aren't tracked. QC and baseline simply don't exist.
CodeForge uses Jira to sequence the whole lifecycle, standardize prompts per agent role, and turn every implementation request into a task — or an Epic / Story / Task chain — with customizable states and boards. You refine studies and drafts, and the Solution Architect owns the quality gate while agents do the work.
Agents explore the domain and build the workspace: domains, capabilities and use cases.
Solution studies compare options and record the decision as a verifiable lineage point.
Iterate and sharpen solution studies, implementation requests and Epic / Story / Task drafts.
CodeForge drives Claude Code agents. Every request is a tracked Jira task with I/O criteria.
Behavior-driven scenarios in Gherkin become the executable quality gate on each step before it advances.
Build and package the verified output — artifacts and pull requests, certified against state.
Cloud direct deployment with Terraform and other IaC tools, wired to Git and CD.
This is for the people who design and govern the flow: Solution Architects, Product Designers and technical Product Owners, engineering leads who need to control agents — not just launch them. Developers execute, but you define the path.
Not a chat thread, but a Jira task with state, criteria and decision lineage.
Sharpen studies, IRs and Epic / Story / Task drafts; acceptance criteria run as Gherkin scenarios.
Real-time control and QC of agentic development across jobs, findings and Jira states.
The power of Claude Code agents is at its best when it's guided. CodeForge is the suite around them: the orchestration workflow, the domain knowledge of the cognitive workspace, behavior-driven quality gates and cloud delivery — so generation never happens in the dark, from idea to production.
A catalog of commands and sequential flows, async jobs, states and preconditions.
Acceptance criteria written as Gherkin scenarios become the executable gate on every step.
Direct deployment with Terraform and other IaC tools, tracked and certified on Jira.
“Claude Code executes; CodeForge and Jira decide the path, gate the quality and certify the state.”
CodeForge stores and compares historical metrics — agent cost ledger, jobs, findings, BDD gate pass rate, IaC deploys and cycle time where the data exists — to continuously establish and validate the development baseline. No vanity metrics: honest data to keep stability and governance over the lifecycle of generated code.
A governed workflow that turns Claude Code into accountable delivery — orchestrated on Jira, gated by behavior-driven acceptance criteria, and traced through version-controlled pipelines and IaC-based cloud delivery. From study to production, every decision auditable and every step certified.