You design the workflow.
Agents do the work.
SDLCAgents.ai is a connected execution platform that puts AI agents across every phase of your software delivery lifecycle — from requirements to deployment — while keeping your team in full control of decisions, approvals, and outcomes.
Why engineering teams are looking for this
1
Too much change, too fastThe AI tooling landscape shifts every few weeks. Hard to standardise without locking into the wrong stack.
2
Demos, but no clear path to productionEvaluating use cases, picking the right workflow, and shipping something real is harder than it looks.
3
Experiments that don't scaleA few engineers are trying things in isolation. Getting that to work across teams and projects is a different problem.
4
Off-the-shelf doesn't fitEvery team has a different stack, different constraints. Custom deployment is not optional — it is a requirement.
What the platform gives you
Full SDLC coverageOne connected backbone from requirements to deployment — with human approval checkpoints at every step.
Workflow-based executionYou define what runs, in what order, with what approvals. Agents follow your process — not a preset flow.
Right model, right taskUse platform models or bring your own. Free models for low-stakes tasks, licensed models for code generation.
Prompt StoreEvery agent instruction stored, versioned, and reusable. Best practices become institutional knowledge — not lost when people leave.
Admin, roles & observabilityRole-based access, execution logs, cost tracking, and performance monitoring — full visibility at every level.
What changes for your team
Months → Days
Faster delivery
Agents handle 80% of the drafting — requirements, architecture, schemas, scaffolded code. Engineers decide and own the outcome.
Smarter Spend
Token usage that gets leaner over time
Prompts are versioned and refined through use. Redundant context gets stripped — same quality output, lower cost per run.
One Platform
Shared backbone, knowledge that stays
One execution layer for every team. Prompts and best practices stored and reusable — knowledge that doesn't leave when people do.
Always Current
Keep pace as the landscape shifts
New models appear every week. Sage decouples workflows from tools underneath — swap or extend without rebuilding.
How we take you from interest to operational
1
Assess & Plan
We map your current SDLC, identify where agents deliver real value, and design a rollout plan that fits your team, stack, and constraints. No generic blueprints.
2
Build & Deploy
We build your workflows on the platform — connected to your GitHub, your models, and your existing tools. Working agents in your environment, not a demo.
3
Enable & Scale
We train your team to operate, extend, and govern the platform independently. Your workflows, your knowledge, your control.
See it in a real engineering environment
Reply to schedule a walkthrough — we will show you exactly how this works end to end.
sdlcagents.ai