Concurrent work
Keep multiple project tabs and agent invocations moving at the same time.
Let specialized agents and deterministic tools handle the development cycle. Bring engineers in where their judgment matters most: reviewing the resulting code and evidence, and making final decisions.
✓ 601 tests passed
✓ Type check passed
◌ Security audit
✓ 184 components indexed
✓ SPDX inventory generated
From prompt to proof
Move human attention away from supervising every intermediate action and toward the end of the cycle — where engineers review changed code, validation evidence, security findings, and the proposed commit.
A persistent multi-project control center
Run several development tasks from one durable local workspace — without switching between several terminal sessions.
Keep multiple project tabs and agent invocations moving at the same time.
Return to previous project-scoped conversations for review or continue the work.
Persist prompts, outputs, tool and reasoning events, audit results, and durations.
Choose the model and workflow configuration that fits each codebase.
Apply global safeguards, then add tighter project-specific rules where needed.
Coordinate several development tasks from a single local control plane.
Meet your AI team
TaskCycle uses dedicated agents — not best-effort skills attached to a general assistant. Every role operates under an explicit contract: a defined objective, carefully scoped context, role-specific system prompt, controlled tool access, and clear guardrails.
The AI Developer implements changes within the selected project. It understands the existing codebase, modifies source files, runs development tools, and resolves implementation issues.
It can:
The AI Assessor reviews shell commands before execution, applying project policy and independent risk analysis to decide whether each command should be allowed, denied, or escalated.
It can:
The Security Gate reviews completed changes using deterministic engineering tools and independent AI analysis, then returns an APPROVE, WARNING, or BLOCK verdict.
It can:
The Project Summarizer generates reusable context from the current source code, treating the implementation — not manually maintained documentation — as the primary source of truth.
This approach:
Extended agent roster
The roles above form the core workflow—not the limit. TaskCycle provides additional role-specific agents for focused responsibilities across the delivery cycle.
Models on your terms
Mix local, privately hosted, and commercial models per project and per agent role. Keep confidential work within controlled infrastructure by configuring every role to use an approved endpoint.
Defense in depth
LLM judgment adds context. Policy constrains execution. Every command and finding is recorded for review.
Deny rules take precedence. Command chains are parsed before execution, and uncertain actions can require approval.
Run technology-aware linters, type checkers, tests, dependency audits, secret scanners, and vulnerability tools.
Block on severe findings, leaked secrets, scanner failures, broken validation, or auditor errors—not just model opinion.
Generate SPDX, CycloneDX, or Syft inventories and surface license categories that merit commercial review.
Designed for accountable review
Inspect changed files and Git diffs. Select exact lines. Send focused feedback. Review the evidence, dependency inventory, security verdict, and proposed commit before accepting the result.
“Review the final codebase — not every intermediate keystroke.”
Built. Tested. Evolving…
Designed for local, auditable development workflows.
Talk to us about your workflow ↗Join the private preview
We are inviting teams that want more control, evidence, and accountability in agentic development. Tell us where TaskCycle could help.
Frequently asked questions
How TaskCycle approaches orchestration, governance, and delivery evidence.
TaskCycle is a local governance and delivery control plane. It coordinates coding agents around the specialized roles and controls used by effective enterprise software teams.
Other tools primarily optimize the interaction between a developer and a coding agent or attach best-effort skills to a general-purpose assistant. TaskCycle instead combines dedicated role-specific agents, persistent multi-project orchestration, pre-command policy, post-change security enforcement, and review-ready delivery evidence.
TaskCycle uses a two-layer governance model: control inside the loop and accountable review at the end of the cycle.
The AI Assessor goes beyond the usual “approve this command” sandbox with pre-execution policy for Bash commands, global and project-specific rules, command-chain parsing, independent LLM assessment, and a durable audit history.
The Security Gate provides post-development review by combining deterministic scanners, secret detection, validation commands, and an independent LLM auditor before the result reaches human review.
Yes. Models are selected per project and per agent role, so teams can mix local, privately hosted, and commercial models within the same workflow.
Development, command assessment, project summarization, and security review can each use an independently configured model. TaskCycle supports model discovery through OpenAI-compatible endpoints and Ollama.
The Security Gate returns an APPROVE, WARNING, or BLOCK verdict. Severe findings, exposed secrets, failed scanners, or broken validation can trigger hard blocking, independently of the AI auditor’s contextual judgment.
When configured, blocking findings are automatically returned to the AI Developer for targeted remediation. Reports, findings, and the final verdict remain stored for subsequent human review.
Yes. TaskCycle supports concurrent project tabs and agent invocations while keeping configuration, policies, and working context scoped to each project.
Every project can retain multiple restorable conversations, with prompts, outputs, tool events, audit results, and durations persisted across sessions without mixing project context.
TaskCycle is designed for teams that need controlled, repeatable, and auditable agentic development rather than an ungoverned coding assistant.
The original request came from a software-services company owner seeking to improve and standardize how developers build software with AI. Internal IT departments can apply the same approach to build business software through an enterprise-proven workflow.
No. Engineering leaders, product owners, security specialists, and internal IT teams can use TaskCycle to initiate and oversee governed development work.
Technical expertise remains important when reviewing code, evaluating risk, and making final delivery decisions, so those responsibilities should remain with appropriately qualified reviewers.
No. Its agents can execute much of the development cycle, but people remain responsible for reviewing the resulting code and evidence, providing targeted feedback, and making final acceptance and delivery decisions.
No. TaskCycle is an orchestration and governance layer that can run and combine existing tests, linters, validation commands, dependency audits, secret detection, and vulnerability scanners.
It complements established engineering controls by coordinating their results with agent activity, policy enforcement, delivery evidence, and accountable human review.
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